DP
RIETI Discussion Paper Series 11-E-068
Do More Productive Firms Locate New Factories
in More Productive Locations?
An empirical analysis based on panel data from Japan's Census of Manufactures
FUKAO Kyoji
RIETI
IKEUCHI Kenta
NISTEP
KIM YoungGak
Senshu University
KWON Hyeog Ug
RIETI
The Research Institute of Economy, Trade and Industry
http://www.rieti.go.jp/en/
RIETI Discussion Paper Series 11-E-068
September 2011
Do More Productive Firms Locate New Factories in More Productive Locations?
An empirical analysis based on panel data from Japan’s Census of Manufactures
FUKAO Kyoji (Hitotsubashi University, RIETI)
IKEUCHI Kenta (NISTEP)
KIM YoungGak (Senshu University)
KWON Hyeog Ug (Nihon University, RIETI)
Abstract
Using a Melitz-style model of heterogeneous firms, Baldwin and Okubo (2006)
recently presented a theoretical model in which self-sorting occurs and more productive
factories choose to locate in more productive areas. The model suggests that
firm-specific factors and regional factors affect each other through the endogeneity of
location decisions. However, to date there have been few studies empirically testing this
issue. Against this background, our aim is to examine the relationship between firms and
location-specific factors in location decisions using factory-level panel data from Japan’s
Census of Manufactures. We begin by estimating how much of the differences in
factories’ TFP levels can be explained by both firm and location effects. The estimation
results show that both effects have a significant impact on the productivity level of a
factory, and that the firm effects are more important than the location effects. We also
find a statistically significant negative correlation between firm effects and location
effects, and investigate what causes this relationship. One potential explanation is that
more productive firms may tend to set up new factories in less productive locations such
as rural areas, where factor prices such as land prices and wage rates are usually low, in
order to benefit from low factor prices. To examine this issue, we estimate a mixed logit
model of location choice. The results indicate that more productive firms indeed tend to
set up new factories in low-productivity locations, which is consistent with our
hypothesis.
Keywords: TFP, firm effects, location effects, and self-sorting.
JEL classification: R30; D24; O53
RIETI Discussion Papers Series aims at widely disseminating research results in the form of
professional papers, thereby stimulating lively discussion. The views expressed in the papers are
solely those of the author(s), and do not represent those of the Research Institute of Economy,
Trade and Industry.
1. Introduction
The literature on productivity shows that there are large differences in the productivity of
factories even in a narrowly defined, highly homogeneous industry (see Bartelsman and Doms,
2000). Many researchers on productivity have looked for firm- or factory-specific factors which may
be responsible for such productivity differences, such as human capital, capital vintage, and the
characteristics of the firm (in terms of R&D, IT, FDI, exports, etc.) to which the factory belongs. On
the other hand, many researchers on regional economics have looked for regional factors which may
explain the differences in productivity among different areas, such as agglomeration effects due to
local industry-specific knowledge spillovers and natural cost advantages (e.g., Ciccone and Hall,
1996, and Henderson, 2003). Both groups of researchers, however, usually fail to incorporate the
perspective of the other group. The former does not take into account location factors, while the
latter usually does not fully take account of the characteristics of the firm to which a factory belongs.
Using a Melitz-style model of heterogeneous firms, Baldwin and Okubo (2006) recently
presented a theoretical model in which self-sorting occurs and more productive factories choose to
locate in more productive areas. Their result suggests that firm-specific factors and regional factors
affect each other through the endogeneity of location decisions.
Despite the importance of this issue, there are few empirical studies on this topic, probably
because of a lack of appropriate data.1 Against this background, our aim is to examine this issue
using factory-level panel data of Japan’s Census of Manufactures.2
First, we decompose factories’ TFP levels into firm effects, location effects, and factory-specific
characteristics, such as size and age. Next, we investigate the characteristics of our estimated firm
effects and location effects by calculating the coefficients of correlation between these effects and
several firm- and location-specific characteristics. Based on the estimated firm and location effects,
we examine how much of the total variation in TFP levels across factories can be explained by firm
effects and by location effects and test whether more productive firms tend to have factories in more
productive locations. We also estimate location choice models and test whether more productive
firms tend to open up new factories in more productive locations.
The structure of the paper is as follows. The next section introduces our methodology for
estimating firm and location effects on TFP, explains data sources and the construction of variables,
and presents our estimation results of firm and location effects. In Section 3, we examine the
characteristics of the estimated firm and location effects by calculating the coefficients of correlation
1
Using start-up data of foreign-owned factories in the United States, Shaver and Flyer (2000) have
shown that productive foreign-owned firms tend to locate their activities in less productive regions.
Shaver and Flyer suggest that the reason is that they receive fewer net benefits from agglomeration and
technology spillovers from other firms.
2
We were able to gain access to the micro data of the Census of Manufactures and the Basic Survey of
Japanese Business Structure and Activities as part of our research project on the “Firm and Industry Level
Analysis of Productivity” at the Research Institute of Economy, Trade and Industry (RIETI).
1
between these effects and various firm and location characteristics. In addition, we conduct an
analysis of variance in order to examine the relative importance of the two effects. In Section 4, we
then test whether firm and location effects are positively correlated. We also estimate models of
firms’ location choices. Section 5 summarizes our results and discusses remaining issues to be
investigated in future research.
2. Estimation of Firm and Location Effects on Factories’ TFP
We begin our examination of the role of location and firm effects on factory-level TFP by
presenting our methodology for measuring TFP and isolating the two effects from other,
factory-specific effects. This is followed by an explanation of our data sources and the variables used.
Finally, this section presents our estimation results of firm and location effects.
Let us start with our methodology for estimating how much of the differences in factories’ TFP
levels can be explained by firm effects and how much by location effects. The TFP level in year t of
factory i, which belongs to firm f and is located in location l, is assumed to be determined by the
following factors: factory age and size, firm effects (measured by a dummy for the firm to which the
factory belongs), location effects (measured by a location dummy at the city/ward/town/village
level), industry specific effects (measured by a dummy for the industry to which the factory belongs),
and year effects:
TFPi ,t  GAgei ,t , Scalei ,t , f i ,t , li ,t , t 
(1)
Specifically, we estimate the following econometric model:
ln TFPi ,t   a1,t Agei ,t   s1,t Scalei ,t
  l ,t DLl  li ,t     f ',t DFf   fi ,t     j ',t DI j '  ji ,t    t ' DYt ' t   Ri ,t
l
f
j
t'
(2)
where Agei,t is the age of factory i in year t, Scalei,t is the number of employees of this factory in year
t, li,t is the location of factory i, and fi,t denotes the firm to which factory i belongs in year t. DLl’ is a
dummy variable for location l’ which takes value one if the location of factory i, li, is equal to l’,
otherwise this dummy variable takes value zero. Similarly, DFf ’ is a dummy variable for firm f’
which takes value one if the firm to which factory i belongs, fi, t, is equal to f’, otherwise this dummy
variable takes value zero, DIj’ is a dummy variable for industry j’ which takes value one if the
industry to which factory i belongs, ji, t is equal to j’, otherwise this dummy variable takes value
2
zero,3 and DYt’ is a dummy variable for year t’ which takes value one if the observation year t is
equal to t’, otherwise this dummy variable takes value zero. Ri,t is the residual term. The coefficient
βl’,t shows the location effect of location l’ in year t on factories’ TFP level, while the coefficient βf ’,t
shows the firm effect of firm f’ in year t on factories’ TFP level.
When we estimate firm and location effects, we ran three-year rolling panel regression. For
example, we estimate values of year t using data of t-2, t-1, and t. We take this approach in order to
avoid endogeneity problems in our estimation of a location choice model. We do not include
productivity data of newly set-up factories in our estimation of the firm and the location effects, both
of which are used in the estimation of a location choice model.
We estimate firm and location effects using equation (2). In order to take account of the
possibility that firm and location effects may differ across industries, we estimated equation (2)
separately for the following six manufacturing subsectors, as shown Table 1: materials, chemicals,
general machinery, electric machinery, transportation machinery, and miscellaneous products.
Insert Table 1
We calculate the relative TFP level of each factory vis-à-vis the industry average TFP level.
Following Good, Nadiri, and Sickles (1997), we measure the TFP level of factory i in year t in a
certain industry in comparison with the TFP level of a hypothetical representative factory in year t in
that industry using the following equation:
N
1
ln TFPi ,t  (ln Qi ,t  ln Qt )   ( sn,i ,t  sn,t )(ln X n,i ,t  ln X n,t )
n1 2
(3)
where Qi,t is the gross output of factory i in year t, sn,i,t is the cost share of the n-th input, and Xn,i,t is
the amount of the n-th input at factory i in year t. Variables with upper bars denote the arithmetic
mean of each variable over all factories in that industry in year t. Three inputs, labor, capital, and
intermediate input, are taken into account in our analysis.
The main data source for this paper is the longitudinal data of the Census of Manufactures
conducted by the Ministry of Economy, Trade and Industry (METI). This census covers all
manufacturing factories with four or more employees.4 Since 1997, the data include information on
factories’ affiliation, so that we can group factories according to their parent firms, although the data
3
Industry dummy variables are based on JIP industry classification which divides the whole
manufacturing sector into 52 subsectors.
4
Factories with three or fewer employees are included in specific years, starting with the 1981 survey
and then in years ending with 0, 3, 5, and 8.
3
do not include detailed information on parent firms. We used data for the period of 1997-2007.
Gross output is measured as the sum of shipments, revenues from repairing and fixing services,
and revenues from performing subcontracted work. Intermediate inputs are defined as the sum of
raw materials, fuel, electricity and subcontracting expenses for consigned production used by the
plant. Using industry level price deflators taken from the Japan Industrial Productivity Database
(JIP) 2010, Gross output and intermediate inputs are converted to values in constant prices of 2000.
Following preceding studies using micro data of the Census of Manufactures, we measure labor
input in terms of man-hours, calculated as the product of the number of employees and the industry
average of annual working hours. The underlying assumption is that the labor service provided by
one hour of work is the same for all workers in a particular industry.5
Capital input is measured as real capital stock, which is defined as the product of the nominal
book value of tangible fixed assets (taken from the Census of Manufactures) and the book-to-market
value ratio for each industry, which is calculated using industry level investment data and the book
value of industry-level capital stock from the Census of Manufactures.
Labor costs are defined as total salaries and intermediate costs are defined as the sum of raw
materials, fuel, electricity and subcontracting expenses for consigned production provided in the
Census of Manufactures, respectively. Capital costs are calculated by multiplying the real net capital
stock with the user cost of capital. The latter is estimated as follows:
ck 
p
1 z
p k {(1  u )i   j  ( k )}
1 u
pk
where pk, i, δ, u and z are the price of investment goods, the interest rate, the depreciation rate, the
corporate tax rate, and the present value of depreciation deduction on a unit of nominal investment,
respectively. Data on investment goods prices, interest rates, and corporate tax rates are taken from
the JIP 2010, the Bank of Japan and the Ministry of Finance Statistics Monthly. The depreciation rate
for each sector is taken from the JIP 2010. We measure the cost share of each factor by dividing the
costs of each factor by total costs, which is the sum of labor costs, intermediate input costs, and
capital costs. Figure 1 plots sectoral average values of TFP level over the 11-year period 1997-2007.
It shows that the largest increases in relative TFP level occurred in electrical machinery.
Insert Figure 1
5
We should note that if the labor service provided by one hour of work differs across regions, our
estimates of location effects will be biased. For example, factories in a certain ward of the Tokyo
metropolitan area might employ more skilled workers than factories in other areas. If we do not take
account of this difference and measure labor input by man-hours, we will overestimate the TFP level of
factories in this ward.
4
In the case of independent factories, we cannot decompose the TFP level into the firm effect
and the location effect. Similarly, in the case of locations with just one factory for the whole
observation period, we cannot decompose the TFP of this factory into the firm effect and the location
effect. In the case of locations with only a small number of factories, or in the case of firms that only
have a small number of factories, our estimates of firm and location effects are likely to be unreliable.
To obtain reliable results, we excluded observations of factories belonging to firms with fewer than
three observations or observations of factories located in cities/wards/towns/villages with fewer than
three observations. We should note that our approach is not free from sample selection bias
problems.
Table 2 shows total number of factories, number of factories, of which TFP were measured, and
number of factories, of which TFP data used for measuring firm effects and location effects for each
year. The original data set for this paper consists of 3,786,975 (factory times year) observations. We
can calculate the TFP level for 909,005 observations. We cannot derive the TFP level for the other
2,877,970 observations (most of them are for small factories) mainly because of the absence of
information on capital stocks.6 The number of observations used for the estimation is 189,270. Table
3 shows total number of cities/wards/towns/villages and number of cities/wards/towns/villages, of
which location effects are estimated.
Insert Tables 2 and 3
Table 4 shows the descriptive statistics of this estimation. 51,130 location effects and 119,636
firm effects were estimated, and the standard deviations of firm effects and of location effects are
almost of the same size.
Insert Table 4
3. The Characteristics of Firm and Location Effects and Their Relative Importance
In order to examine the characteristics of the estimated firm and location effects, we calculated
the coefficients of correlation between these effects and several firm- and location-specific
characteristics. The results are shown in Tables 5 and 6. In Table 5, correlation coefficients are
calculated across firms, while in Table 6, correlation coefficients are calculated across locations.
6
This problem is more serious for years after 2001. The reason is that from 2001, the Census of
Manufactures stopped collecting capital stock data for factories with 29 or fewer employees in
non-benchmark years.
5
Insert Tables 5 and 6
Starting with the correlation between firm effects and other firm characteristics (Table 5), we
find a positive correlation between firm effects and the average TFP level of the firm. 7 Firm effects
are also positively correlated with factories’ gross output as well as the number of factories a firm
owns. That is, larger firms tend to generate larger positive firm effects. These results are consistent
with Adams and Jaffe (1996) which found a strong correlation between plant-level productivity and
the number of plants of a firm.
One caveat with regard to these results, however, is that by relying on the Census of
Manufactures, which only provides information on manufacturing establishments, the calculation of
firms’ TFP level does not fully cover firms’ headquarter activities and non-manufacturing activities.
Thus, in order to examine the correlation with the TFP level of firms’ total activities, we also
calculated firms’ TFP level using micro-data from the Basic Survey of Japanese Business Structure
and Activities. Again we find a positive correlation between these two variables.
Turning to the correlations between location effects and other location characteristics (Table 6),
we find that location effects are positively correlated with weighted average of TFP level of all the
factories in the same location. 8
In order to measure congestion effects (that is, negative effects of economic agglomeration), we
prepared data of two variables; wage premiums and land prices. We get land prices from the
Chiiki-keizai-deta CD-ROM (Regional Economy Data CD-ROM) published by Toyo Keizai. We use
regional wage premiums obtained by Daiji Kawaguchi and Ryo Kambayashi based on micro data of
the Basic Survey on Wage Structure as part of their background analysis for a recent study
(Kawaguchi and Kambayashi, 2009).9
We find that location effects are positively correlated with the regional wage premium, and the
7
We calculate the average log value of the TFP of firm f’ in year t, lnTFPf’,t, as a weighted average of the
log value of the TFP level of all the establishments which belong to this firm:
ln TFPf ,t 

salesi ,t
f (i )  f 
 sales
f (i )  f 
ln TFPi ,t
i , t
8
We calculate the average TFP of location l’, lnTFPl’,t, as a weighted average of the log values of the TFP
level of all the factories located in this location:
ln TFPl ,t 

l (i ) l 
salesi ,t
 sales
l (i) l 
ln TFPi ,t
i , t
where salesi, t denotes the total sales of factory i in year t.
9
Kawaguchi and Kambayashi estimated regional wage premiums by estimating a Mincer-type wage
function with each worker’s educational attainment, work experience (defined as age minus years of
education minus 6), tenure, quadratic terms of work experience and tenure, factory size, city dummies,
and industry dummies as explanatory variables, using all the survey data for full-time male workers
across all industries and for all of Japan.
6
average land price of that location. That is, location effects tend to be greater in areas with higher
wage rates and higher land prices.
Next, in order to examine the relationship between location effects and industry agglomeration,
we prepared three sets of indices of industry agglomeration for each subsector of each location; total
shipment of subsector j in location l, total number of factories in subsector j of location l, and density
of industry agglomeration ((total shipment of subsector j in location l)/(square kilometers of location
l)).
We find a positive correlation between location effects and the three indices of industry
agglomeration. It seems that industry agglomeration has a positive effect on factories’ productivity.
To sum up our results, both the estimated firm effects and the location effects have plausible
characteristics. For example, larger firms tend to generate larger positive firm effects, and firm
effects are positively correlated with the average TFP level of all the factories of this firm. Location
effects are positively correlated with the average TFP level of all factories in a particular location,
and location effects tend to be greater for locations with higher industry agglomeration level.
Table A1 shows a list of locations (city/ward/town/village) ordered by measured location effects
in each of the six industries.10 Although there are some exceptions, locations with a higher industry
agglomeration level seem to have higher value of location effects.
The next question we address is how much of the total variation in TFP levels across factories
can be explained by firm effects and how much by location effects. In order to answer this question,
we conduct an analysis of variance (ANOVA). ANOVA provides a measure of the fit of the
regression of the contribution of each variable by measuring how well the variation in each
independent variable predicts the variation in the dependent variable.
The ANOVA results are shown in Table 7. In the table, “partial sum of squared deviations”
denotes how much the variation of each variable contributes to the total variation (total sum of
squared deviations) of the dependent variable, that is, each factory’s TFP level. The results show that,
in all six manufacturing subsectors, both location and firm effects are important in explaining
factories’ productivity level. About 40-50 percent of the total variation can be explained by these two
effects. The table also shows that in all the manufacturing subsectors, the partial sum of squared
deviations of the firm effects is greater than the partial sum of squared deviations of the location
effects. Thus, to which firm a factory belongs is a more important determinant of this factory’s TFP
level than in which location this factory is located.
10
Location effects in Table A1 are estimated by pooled data regressions of 11 years not by rolling panel
regressions. Some of locations hosted only one or two establishments in the 11 years. In such cases, it is
necessary to conceal the value of location effects in order to maintain the confidentiality of individual
establishments’ information in conformity with Japan’s Statistics Act. The information of these locations
is excluded from Table A1.
7
Insert Table 7
4. Do More Productive Firms Set Up Their Factories in More Productive Locations?
In this section, we examine the relationship between firm and location effects. Above, it was
suggested that firm effects on factory-level productivity have a positive correlation with firm size
and the average TFP level of all the factories of this firm. Similarly, location effects have a positive
correlation with the average TFP level of all the factories in a particular location and the location’s
industry agglomeration. This raises the question whether “self-sorting” occurs in that more
productive firms set up their factories in more productive locations.
However, before conducting our analysis of location decisions, we examine the static
correlation between firm and location effects across factories. The results are shown in Table 8 and
in Figure 2, indicating that there is a statistically significant negative correlation between firm and
location effects for all six manufacturing subsectors.
Insert Table 8 and Figure 2
What causes this negative relationship? One potential explanation is that more productive firms
may tend to set up new factories in less productive locations such as rural areas, where factor prices
such as land prices and wage rates are usually low, in order to benefit from low factor costs. On the
other hand, less productive firms may be unable to locate new factories in rural areas because of
their inability to solve logistical problems, which are common in rural areas.
To determine the cause of the negative relationship, we calculate correlation coefficients across
factories between firm effects and location characteristics. We use two variables for location
characteristics: wage premiums, and land prices.11 Table 9 shows the results, which indicate that
there is no clear pattern suggesting that more productive firms tend to place their factories in
locations with low wage premiums or low land prices. While a negative and significant correlation
between firm effects and land price can be observed in the general machinery industry, the
correlations between firm effects and wage premiums or land prices in all other subsectors are either
insignificant or actually significantly positive.
Insert Table 9
So far, our analysis has focused on factories of all ages. However, many of the factories in our
11
Examining the correlation between these variables across locations, we find a high positive correlation
between wage premiums and land prices.
8
sample were set up a long time ago and the regional characteristics on which location decisions were
originally based may have changed since the establishment of these factories. In order to take this
into account, we also examine the correlation between firm effects for newly opened factories and
regional characteristics in the year they were established.
To do so, we estimate the following mixed logit model of location choice:
Pr( y f ,t  l ) 
exp(   z f ,l ,t )
for l  1...L and t  1....T
L
 exp(   z
l  1
f , l , t
)
where the left-hand side denotes the probability of observing the establishment of a factory in year t
by firm f in location l, zf,l,t denotes a vector including characteristics of location l and cross terms
between characteristics of firm f and characteristics of location l as its elements, and β is the
coefficient vector.
The number of newly opened factories, of which it is possible to calculate firm and location
effects, and their distribution over time are shown in Table 10. The numbers are not very large, partly
because Japan’s manufacturing sector has shrunk rapidly during this period and partly because we
can calculate both firm and location effects only for a fraction of newly established factories.
Insert Table 10
Correlation coefficients between the location variables used in the estimation are reported in
Table 11. High correlation coefficients suggest that there is a risk of multi-collinearly problems.
Because of this risk, we do not use all the location variables within one equation.
Insert Table 11
The results of our estimation of the mixed logit model of location decision are presented in
Table 12. Specification 1 represents the baseline estimation and as independent variables only
includes the location effect, one of the location variables and the number of factories of the same
firm in the same location. 12. The estimated coefficients on the location effect are positive in most
cases and significant. This result provides a strong evidence suggesting that firms tend to prefer
more productive locations. Table 12.2 shows the same estimation results with the sample of the
machinery industries (including General Machinery, Electric Machinery, and Transportation
12
In all the estimation, we observe that the presence of factories of the same firm in the same prefecture
has very strong effects on the probability of the selection of that location.
9
Machinery), which is almost same to that of Table 12.1.
Insert Table 12.1 and Table 12.2
In the estimation in Table 13, we added a cross term of location effects and firm effects. The
estimated coefficients on the cross term of firm and location effects are negative and significant. This
result implies that more productive firms tend to be less attracted to more productive locations. This
finding is consistent with the results of our analysis of the correlation between firm and location
effects across factories. In Table 13 we also estimated a model with industry agglomeration and its
cross term with firm effect. The results show that industry agglomeration has positive impact on the
location choice, and that it is more important for the productive firms in machinery industries.
Insert Table 13.1 and Table 13.2
As already mentioned, one possible explanation of the negative correlation between firm and
location effects is that more productive firms tend to set up their factories in less productive
locations, such as rural areas, so as to exploit the lower factor prices there. Moreover, they can do so
because they are able to overcome the logistical problems that may be associated with locating
production in rural areas – something that typically smaller less productive firms cannot do. If this
hypothesis is correct, high factor prices should have a negative effect on firms’ location decision. To
test this, we added factor price variables such as the regional wage premium and land prices to our
specification of Table 13.
The results are reported in Table 14. Against expectation, we do not find any statistically
significant negative effects of factor prices on location decisions in specifications 1 and 2 of Table 14.
One possible explanation for this result is that, because the equation does not include sufficient
variables to control for the positive effects of agglomeration, the estimate for the local wage
premium picks up these effects.
Another question of considerable interest is what causes location effects. As many studies in the
field of economic geography have argued, one potential factor is the industry agglomeration. To test
the importance of agglomeration effects for location decisions, we replaced the location effect
variable with industry agglomeration in our analysis of location choice. If more productive firms are
less attracted by industry agglomeration, a negative coefficient for the cross term of firm effects and
industrial agglomeration is expected. The results are reported as specifications 3 and 4 in Table 14.
We find that industry agglomeration has a positive and statistically significant effect on location
decision in all industries. But we do not find negative and significant coefficient for the cross term of
firm effects and industry agglomeration.
10
In specifications 5 and 6, we test another possibility that location effect and industry
agglomeration captures pretty different aspects of the attraction of locations by adding the industry
agglomeration to the location effects and its cross term with firm effects as an explanatory variable.
The table shows that controlling such regional merits as location effects estimated above, industry
agglomeration, and presence of factories of the same firm, factor prices such as wage premium and
land price have negative effect on the choice. This result is consistent with our hypothesis.
Insert Table 14.1 and 14.2
5. Conclusion
Using micro data of Japan’s Census of Manufactures, we decomposed the TFP level of each
factory into firm effects, location effects, and other, factory specific factors such as size and age.
Both the estimated firm effects and the estimated location effects have plausible characteristics. That
is, larger firms tend to generate larger positive firm effects. and firm effects are positively correlated
with the average TFP level of all the factories of this firm. Location effects are positively correlated
with the average TFP level of all factories in a particular location, and location effects tend to be
positively correlated with industrial agglomeration.
Based on the estimated firm and location effects, we also conducted an analysis of variance and
found that both location and firm effects play a role in explaining factories’ TFP levels. In addition,
comparing the contribution of the two effects, it was found that both location and firm effects have a
statistically significant and large influence on factories’ productivity, and firm effects were the more
important of the two.
Next, our attention turned to the correlation between firm and location effects, which was
negative. That is, more productive firms tended to have factories in cities with weaker location
effects. We hypothesized that the reason for this may be that more productive firms set up their
factories in less productive locations such as rural areas to benefit from low factor prices there. To
test this hypothesis, we estimated a location choice model. Consistent with our hypothesis, the
estimation results showed that location effects had a positive effect on location decisions and the
cross term of firm and location effects a significant negative effect. However, against our expectation,
we did not find a negative and significant effect of factor prices, such as wage premiums and land
prices, on location choices.
These findings mean that we need to examine our estimates of firm and location effects further.
We found a positive and significant correlation between location effects and industry agglomeration,
but the correlation coefficient is not very large. When we replaced the location effect variable in our
location choice analysis with industry agglomeration, we found a positive and statistically significant
11
effect on location decisions. However, we did not find a negative and significant coefficient on the
cross term, that is, firm effects times industrial agglomeration. These results indicate that we still do
not understand well what local characteristics cause positive location effects.
We also tested another possibility that location effect and industry agglomeration captures
pretty different aspects of the attraction of locations by adding the industry agglomeration to the
location effects and its cross term with firm effects as an explanatory variable. We found that
controlling such regional merits as location effects estimated above, industry agglomeration, and
presence of factories of the same firm, factor prices such as wage premium and land price have
negative effect on the choice. This result is consistent with our hypothesis.
In the case of firm effects, we found a positive and significant correlation between firm size and
firm effects, but we were unable to examine how other firm specific factors, such as research and
development expenditures, information technology investment, or the accumulation of intangible
assets, affect firm effects, because of a lack of such data. We hope that we can investigate these
issues in the future by matching our micro data of the Census of Manufactures with other firm level
data.
There are also several additional issues that still need to be tackled. First, as we have already
highlighted, our approach is not free from sample selection bias problems. And second, it is likely
that firms make decisions on the location of new factories in the context of their networks already in
place. These are factors that a more refined location choice model should address and we hope to
develop and test such a model in the future.
12
References
Adam, J. D. and A. B. Jaffe (1996) “Bounding the Effects of R&D: An Investigation Using Matched
Establish-Firm Data,” RAND Journal of Economics, 27, pp.700-721.
Baldwin, R. E. and T. Okubo (2006) “Heterogeneous Firms, Agglomeration and Economic
Geography: Spatial Selection and Sorting,” Journal of Economic Geography, 6(3), pp. 323-346.
Bartelsman, E. J. and M. Doms (2000) “Understanding Productivity: Lessons from Longitudinal
Microdata,” Journal of Economic Literature, 38, pp.569-594.
Ciccone, A. and R. E. Hall (1996) “Productivity and the Density of Economic Activity,” American
Economic Review, 86, pp.54-70.
Henderson, J. V. (2003) “Marshall’s Scale Economies,” Journal of Urban Economics, 53, pp.1-28.
Good, D. H., M. I. Nadiri and R. C. Sickles (1997) “Index Number and Factor Demand Approaches
to the Estimation of Productivity,” in M.H. Pesaran and P. Schmidt (eds.), Handbook of Applied
Econometrics: Vol. 2. Microeconometrics, Oxford, England: Basil Blackwell, pp. 14-80.
Kawaguchi, D. and R. Kambayashi (2009) “Seifu Tokei no Setsugo Data no Sakusei to Riyo: Kogyo
Tokei Chosa to Chingin Kozo Kihon Chosa no Rei [Compilation and Use of Merged
Micro-Data of Government Surveys: The Case of the Census of Manufactures and the Basic
Survey on Wage Structure],” forthcoming in Yukinobu Kitamura (ed.), Ohyo Mikuro Keiryo
Keizai-gaku [Applied Micro-Econometrics], Tokyo, Japan: Nihon Hyoron-sha.
Shaver, J. M. and F. Flyer (2000) “Agglomeration Economies, Firm Heterogeneity, and Foreign
Direct Investment in the United States,” Strategic Management Journal, 21, pp.1175-1193.
13
Table 1. Industry Classification
Industry classification of this
paper
Livestock products
6 Miscellaneous products
Seafood products
6 Miscellaneous products
Flour and grain mill products
6 Miscellaneous products
Miscellaneous foods and related products
6 Miscellaneous products
Prepared animal foods and organic fertilizers
6 Miscellaneous products
Beverages
6 Miscellaneous products
Tobacco
6 Miscellaneous products
Textile products
6 Miscellaneous products
Lumber and wood products
1 Material products
Furniture and fixtures
1 Material products
Pulp, paper, and coated and glazed paper
1 Material products
Paper products
1 Material products
Printing, plate making for printing and bookbinding
6 Miscellaneous products
Leather and leather products
1 Material products
Rubber products
1 Material products
Chemical fertilizers
2 Chemicals
Basic inorganic chemicals
2 Chemicals
Basic organic chemicals
2 Chemicals
Organic chemicals
2 Chemicals
Chemical fibers
2 Chemicals
Miscellaneous chemical products
2 Chemicals
Pharmaceutical products
2 Chemicals
Petroleum products
2 Chemicals
Coal products
2 Chemicals
Glass and its products
1 Material products
Cement and its products
1 Material products
Pottery
1 Material products
Miscellaneous ceramic, stone and clay products
1 Material products
Pig iron and crude steel
1 Material products
Miscellaneous iron and steel
1 Material products
Smelting and refining of non-ferrous metals
1 Material products
Non-ferrous metal products
1 Material products
Fabricated constructional and architectural metal products 1 Material products
Miscellaneous fabricated metal products
1 Material products
General industry machinery
3 General machinery
Special industry machinery
3 General machinery
Miscellaneous machinery
3 General machinery
Office and service industry machines
3 General machinery
Electrical generating, transmission, distribution and
4 Electric machinery
industrial apparatus
Household electric appliances
4 Electric machinery
Electronic data processing machines, digital and analog
4 Electric machinery
computer equipment and accessories
Communication equipment
4 Electric machinery
Electronic equipment and electric measuring instruments 4 Electric machinery
Semiconductor devices and integrated circuits
4 Electric machinery
Electronic parts
4 Electric machinery
Miscellaneous electrical machinery equipment
4 Electric machinery
Motor vehicles
5 Transportation machinery
Motor vehicle parts and accessories
5 Transportation machinery
Other transportation equipment
5 Transportation machinery
Precision machinery & equipment
3 General machinery
Plastic products
6 Miscellaneous products
Miscellaneous manufacturing industries
6 Miscellaneous products
JIP industry classification
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
14
1.00
Figure 1. Industry average of lnTFP
0.80
0.60
Material products
Chemicals
General machinery
0.40
Electric machinery
Transportation machinery
Miscellaneous products
0.20
0.00
1997
1999
2001
2003
-0.20
15
2005
2007
Table 2. Number of Observations
year
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
Total
Total number of
factories
358,246
373,713
345,457
341,421
316,267
290,848
504,503
270,905
468,840
258,543
258,232
3,786,975
Number of factories, of
Number of factories, of which TFP data were
which TFP were
used for measuring
measured
firm effects and
location effects
142,872
7,393
141,379
14,615
134,554
22,174
130,432
22,094
43,597
17,592
41,657
16,818
40,780
16,525
40,483
17,393
110,799
21,553
40,837
15,168
41,615
17,945
909,005
189,270
16
Table 3. Number of Cities/Wards/Towns/Villages (Year=2005)
Prefecture
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
Hokkai-do
Aomori
Iwate
Miyagi
Akita
Yamagata
Fukushima
Ibaragi
Tochigi
Gunma
Saitama
Chiba
Tokyo
Kanagawa
Niigata
Toyama
Ishikawa
Fukui
Yamanashi
Nagano
Gifu
Shizuoka
Aichi
Mie
Shiga
Kyoto
Osaka
Hyogo
Nara
Wakayama
Tottori
Shimane
Okayama
Hiroshima
Yamaguchi
Tokushima
Kagawa
Ehime
Kouchi
Fukuoka
Saga
Nagasaki
Kumamoto
Oita
Miyazaki
Kagoshima
Okinawa
Total
Total number of cities,
Total number of cities,
wards, towns and
wards, towns and
villages, of which TFP
villages
were measured
186
108
40
31
35
31
36
34
25
21
35
32
59
49
44
44
31
31
38
33
70
68
56
52
62
52
50
46
30
29
15
15
19
17
17
15
28
23
81
57
42
40
38
30
76
72
29
27
26
23
36
31
66
62
48
47
39
24
30
19
19
16
21
16
27
25
30
28
20
19
24
19
17
17
20
19
34
19
76
68
20
18
23
15
47
39
18
16
30
22
45
30
41
20
1,899
1,569
17
Table 4. Descriptive Statistics of Location Effects and Firm Effects
（1）Location effects
Number of
observation
Material products
11,588
Chemicals
5,045
General machinery
8,476
Electric machinery
8,827
Transportation machinery
5,090
Miscellaneous products
12,104
Industry
Total
51,130
-0.005
-0.056
0.106
-0.183
-0.001
-0.018
Standard
deviation
0.277
0.502
0.504
0.396
0.297
0.388
-0.025
0.404
Mean
Min
Median
Max
-2.233
-3.194
-2.660
-2.347
-1.675
-2.529
0.000
-0.035
0.040
-0.178
0.000
0.003
1.589
2.629
2.572
1.901
1.138
2.104
-3.194
-0.012
2.629
（2）Firm effects
Number of
Industry
observation
s
Material products
32,990
Chemicals
8,263
General machinery
19,771
Electric machinery
17,737
Transportation machinery
8,752
Miscellaneous products
32,123
Total
119,636
-0.076
0.011
-0.010
-0.135
0.001
-0.080
Standard
deviation
0.322
0.561
0.512
0.428
0.285
0.536
-0.063
0.454
Mean
18
Min
Median
Max
-1.917
-2.509
-2.789
-2.536
-1.326
-3.257
-0.065
0.000
0.000
-0.084
0.000
-0.069
2.208
3.404
3.754
2.032
1.445
2.573
-3.257
-0.024
3.754
1
2
3
4
5
6
1
2
3
4
5
6
7
Table 5. Correlation Coefficients between Firm Variables
Variables
1
2
3
Firm effects
1
0.134
1
∑shipment of the firm
Number of employees
0.051
0.851
1
Number of factories of the firm
0.022
0.465
0.512
0.298
0.258
0.170
Weighted average of lnTFP of the firm
lnTFP derived from Basic Survey Data*
0.076
0.329
0.233
Note: 1. All the coefficients are statistically significant at 1% level.
2. Basic Survey is Basic Survey of Japanese Business Structure and Activities .
Table 6. Correlation Coefficients between Location Variables
Variables
1
2
3
Location effects (by location and by subsector)
1
ln(Total shipment of the same subsector in the location)
0.087
1
ln(Number of factories in the same subsector in the location)
0.081
0.637
1
Wage premium
0.059
0.265
0.158
ln(Land price of the city)
0.061
0.248
0.257
Weighted average of lnTFP of factories in the same subsector of
0.065
0.197
-0.076
the location
ln(Industry agglomeration)
0.088
0.855
0.579
Note: All the coefficients are statistically significant at 1% level.
19
4
5
6
1
0.040
-0.008
1
0.563
1
4
5
6
1
0.567
1
0.107
0.067
1
0.365
0.504
0.184
7
1
Table 7. Results of ANOVA
Partial
usm of
Model
2,687.7
Age of the factory
2.8
ln(number of employees)
3.8
Location
338.9
Firm
1,920.0
Industry (JIP)
7.6
Year
35.7
Residual
2,079.1
Total
4,766.8
F
Prob > F
Chemicals
0
0
0
0
0
0
0
Model
Age of the factory
ln(number of employees)
Location
Firm
Industry (JIP)
Year
Residual
Total
1,626.9
1.8
0.2
363.9
940.5
10.3
11.1
696.3
2,323.2
1912
1
1
667
1225
8
10
14448
16360
0.851
1.781
0.208
0.546
0.768
1.285
1.108
0.048
0.142
17.7
37.0
4.3
11.3
15.9
26.7
23.0
0
0
0.0379
0
0
0
0
General machinery
11.0
78.8
105.9
7.2
9.8
14.3
100.8
Model
Age of the factory
ln(number of employees)
Location
Firm
Industry (JIP)
Year
Residual
Total
1,340.6
0.9
1.1
254.4
902.1
0.5
12.1
888.5
2,229.1
4169
1
1
1014
3139
4
10
28567
32736
0.322
0.872
1.115
0.251
0.287
0.114
1.208
0.031
0.068
10.3
28.0
35.9
8.1
9.2
3.7
38.8
0
0
0
0
0
0.0053
0
Electric machinery
Mean
square
0.392
2.795
3.755
0.254
0.349
0.507
3.574
0.035
0.073
Model
Age of the factory
ln(number of employees)
Location
Firm
Industry (JIP)
Year
Residual
Total
2,289.8
0.0
0.6
284.9
963.8
1.8
343.1
1,121.1
3,410.9
3935
1
1
1070
2846
7
10
29112
33047
0.582
0.017
0.564
0.266
0.339
0.257
34.306
0.039
0.103
15.1
0.4
14.7
6.9
8.8
6.7
890.8
0
0.5104
0.0001
0
0
0
0
Transportation
machinery
Degrees
of
6860
1
1
1335
5498
15
10
58610
65470
Model
Age of the factory
ln(number of employees)
Location
Firm
Industry (JIP)
Year
Residual
Total
490.7
0.2
2.8
144.2
269.9
2.2
2.9
407.1
897.8
1906
1
1
655
1237
2
10
15268
17174
0.257
0.198
2.772
0.220
0.218
1.123
0.287
0.027
0.052
9.7
7.4
104.0
8.3
8.2
42.1
10.8
0
0.0064
0
0
0
0
0
Miscellaneous
products
Material products
Source
Model
Age of the factory
ln(number of employees)
Location
Firm
Industry (JIP)
Year
Residual
Total
4,134.1
6.1
4.4
415.3
2,605.0
2.9
4.6
1,912.1
6,046.1
6393
1
1
1380
4992
9
10
54904
61297
0.647
6.138
4.393
0.301
0.522
0.318
0.459
0.035
0.099
18.6
176.3
126.1
8.6
15.0
9.1
13.2
0
0
0
0
0
0
0
20
Table 8. Correlation Coefficients between Location Effects and Firm Effects
Industry
Correlation Coeffcients
Material products
-0.438
Chemicals
-0.491
General machinery
-0.644
Electric machinery
-0.667
Transportation machinery
-0.620
Miscellaneous products
-0.205
Note: All the coeffcients are statistically significant at 1% level.
21
Figure 2. Scatter Diagrams of Location Effects and Firm Effects
22
Table 9. Correlation Coefficients between Firm Effects and Location Variables
Variables
1
0.0189***
3 Land price of the city
0.0120** 0.5709***
1 Firm effects
1
0.010
3 Land price of the city
1
0.0171** 0.4963***
1 Firm effects
0.0111*
3 Land price of the city
1
-0.0183***0.06145***
1 Firm effects
1
1
2 Wage premium
0.0483***
3 Land price of the city
0.0316*** 0.6373***
Transportation
machinery
1
1
2 Wage premium
1 Firm effects
1
1
2 Wage premium
1 Firm effects
3
1
2 Wage premium
Miscellaneous
products
Electric
machinery
General
machinery
Chemicals
Material
products
1 Firm effects
2
1
1
1
2 Wage premium
0.0156*
3 Land price of the city
1
0.0585*** 0.5432***
1
1
2 Wage premium
0.0525***
3 Land price of the city
0.1253*** 0.6517***
23
1
1
Table 10. Number of Observations of Factory Startups in Location Choice Estimation
Industry
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
Total
Material products
113
44
44
34
20
36
36
62
50
87
526
Chemicals
23
11
15
10
13
10
9
10
6
24
131
General machinery
44
19
21
18
19
17
10
21
15
54
238
Electric machinery
50
26
12
21
31
30
35
21
39
29
294
Transportation machinery
23
6
11
2
11
13
25
17
28
36
172
Miscellaneous product
156
38
39
43
44
42
24
47
45
139
617
Total
409
144
142
128
138
148
139
178
183
Notes: In our estimation, we used data of new factories, for which both the location effect data
and the firm effect data are available. Therefore, the number of observations is much smaller than
the number of all the startups.
369
1,978
24
Table 11.1 Correlation Coefficient between Locatoin Variables: Manufacturing Sector
Variables
1
2
3
1 Location effects
1
2 Wage premium
0.075
1
3 ln(Land price of the city)
0.089
0.565
1
4 Indusrty Agglomeration
0.117
0.371
0.541
4
1
Table 11.2. Correlation Coefficient between Locatoin Variables: Machinery Sector
(General Machinery, Electric Machinery, and Transportation Machinery)
1 Location effects
1
2 Wage premium
0.061
1
3 ln(Land price of the city)
0.058
0.582
1
4 Indusrty Agglomeration
0.073
0.391
0.470
Note．All the coeffcients are statistically significant at 1% level.
25
1
Table 12.1 Results of Mixed Logit Estmation 1: Manufacturing Sector
(1)
Location effect
(2)
(3)
0.146 **
(0.063)
Wage premium (t-1)
0.169 ***
(0.025)
Indusrty agglomeration (t-1)
Log-likelihood
Number of observations
(5)
0.122 *
(0.063)
1.13 ***
(0.153)
1.14 ***
(0.153)
ln(Land price of the city) (t-1)
ln(1+Number of factory of the same firm
in the same prefecture (t-1))
R-squared
(4)
3.65 ***
(0.068)
0.105
-1.26E+04
1,887,285
3.62 ***
(0.068)
0.107
-1.25E+04
1,853,868
3.61 ***
(0.069)
0.107
-1.22E+04
1,791,607
(6)
(7)
0.128 **
(0.064)
-0.0318
(0.070)
0.167 ***
(0.025)
0.405 ***
(0.014)
3.64 ***
(0.071)
0.14
-1.12E+04
1,755,951
3.62 ***
(0.068)
0.107
-1.25E+04
1,853,868
0.406 ***
(0.014)
3.64 ***
(0.071)
0.14
3.61 ***
(0.069)
0.107
-1.22E+04
1,791,607
-1.12E+04
1,755,951
Table12.2 Results of Mixed Logit Estmation 1: Machinery Sector (General Machinery, Electric Machinery,
and Transportation Machinery)
(1)
Location effect
(2)
(3)
0.172 *
(0.098)
Wage premium (t-1)
0.0844 *
(0.045)
Indusrty agglomeration (t-1)
Log-likelihood
(5)
0.153
(0.098)
0.988 ***
(0.273)
1 ***
(0.272)
ln(Land price of the city) (t-1)
ln(1+Number of factory of the same firm
in the same prefecture (t-1))
R-squared
(4)
4.04 ***
(0.121)
0.132
4.03 ***
(0.121)
0.133
3.97 ***
(0.121)
0.131
(6)
(7)
0.156
(0.100)
0.0968
(0.106)
0.0825 *
(0.045)
0.332 ***
(0.023)
4.08 ***
(0.129)
0.163
4.03 ***
(0.121)
0.134
3.97 ***
(0.121)
0.131
0.331 ***
(0.023)
4.08 ***
(0.129)
0.163
-4.17E+03
-4.15E+03
-4.05E+03
-3.63E+03
-4.15E+03
-4.05E+03
-3.63E+03
Number of observations
524,215
Note 1. Standard errors are in parentheses.
2. * p<.1, ** p<.05, *** and p<.01
520,626
499,568
470,761
520,626
499,568
470,761
26
Table 13.1 Results of Mixed Logit Estmation 2: Manufacturing Sector
Location effect
Location effect*Firm effect
(1)
(2)
3.57 ***
(0.230)
-1.54 ***
(0.101)
3.44 ***
(0.235)
-1.49 ***
(0.103)
Indusrty agglomeration (t-1)
Indusrty agglomeration(t-1)*Firm effect
ln(1+Number of factory of the same firm
in the same prefecture (t-1))
R-squared
Log-likelihood
Number of observations
0.008
-1.39E+04
1,887,285
3.65 ***
(0.068)
0.113
-1.25E+04
1,887,285
(3)
(4)
0.244 ***
(0.062)
0.076 ***
(0.028)
0.261 ***
(0.063)
0.066 **
(0.028)
3.64 ***
(0.071)
0.14
0.037
-1.26E+04
1,755,951
-1.12E+04
1,755,951
Table 13.2 Results of Mixed Logit Estmation 2: Machinery Sector (General Machinery,
Electric Machinery, and Transportation Machinery)
Location effect
Location effect*Firm effect
(1)
(2)
4.4 ***
(0.346)
-1.94 ***
(0.156)
4.26 ***
(0.363)
-1.9 ***
(0.164)
Indusrty agglomeration (t-1)
Indusrty agglomeration(t-1)*Firm effect
ln(1+Number of factory of the same firm
in the same prefecture (t-1))
R-squared
Log-likelihood
Number of observations
Note 1. Standard errors are in parentheses.
2. * p<.1, ** p<.05, *** and p<.01
0.017
4.04 ***
(0.122)
0.148
(3)
(4)
0.304 ***
(0.095)
0.019
(0.043)
0.297 ***
(0.097)
0.017
(0.044)
4.08 ***
(0.129)
0.163
0.029
-4.72E+03
-4.09E+03
-4.20E+03
-3.63E+03
524,215
524,215
470,761
470,761
27
Table 14.1 Results of Mixed Logit Estmation 3: Manufacturing Sector
Location effect
Location effect*Firm effect
(1)
(2)
3.41 ***
(0.236)
-1.49 ***
(0.104)
3.42 ***
(0.238)
-1.49 ***
(0.104)
Indusrty agglomeration (t-1)
0.265 ***
(0.064)
0.072 **
(0.028)
-0.635 ***
(0.183)
Indusrty agglomeration (t-1)・Firm effect
Wage premium (t-1)
1.12 ***
(0.153)
ln(Land price of the city)(t-1)
ln(1+Number of factory of the same firm
in the same prefecture (t-1))
R-squared
Log-likelihood
Number of observations
3.62 ***
(0.069)
0.115
-1.24E+04
1,853,868
(3)
0.166 ***
(0.025)
3.61 ***
(0.069)
0.115
-1.21E+04
1,791,607
3.63 ***
(0.071)
0.141
-1.12E+04
1,725,699
(4)
0.326 ***
(0.064)
0.063 **
(0.028)
(5)
(6)
3.66 ***
(0.255)
-1.66 ***
(0.111)
0.427 ***
(0.015)
3.67 ***
(0.259)
-1.67 ***
(0.113)
0.468 ***
(0.016)
-0.656 ***
(0.183)
-0.247 ***
(0.030)
3.64 ***
(0.071)
0.144
-1.09E+04
1,675,350
3.62 ***
(0.071)
0.148
-1.11E+04
1,725,699
-0.251 ***
(0.030)
3.63 ***
(0.071)
0.152
-1.08E+04
1,675,350
Table 14.2 Results of Mixed Logit Estmation 3: Machinery Sector (General Machinery, Electric Machinery,
and Transportation Machinery)
Location effect
Location effect*Firm effect
(1)
(2)
4.24 ***
(0.362)
-1.89 ***
(0.164)
4.28 ***
(0.366)
-1.9 ***
(0.165)
Indusrty agglomeration (t-1)
0.316 ***
(0.097)
0.016
(0.044)
-0.738 **
(0.323)
Indusrty agglomeration (t-1)・Firm effect
Wage premium (t-1)
0.972 ***
(0.274)
ln(Land price of the city)(t-1)
ln(1+Number of factory of the same firm
in the same prefecture (t-1))
R-squared
Log-likelihood
Number of observations
Note 1. Standard errors are in parentheses.
2. * p<.1, ** p<.05, *** and p<.01
4.02 ***
(0.122)
0.149
(3)
0.0827 *
(0.045)
3.97 ***
(0.122)
0.147
4.07 ***
(0.129)
0.163
(4)
0.34 ***
(0.098)
0.017
(0.044)
(5)
(6)
4.62 ***
(0.393)
-2.09 ***
(0.177)
0.349 ***
(0.025)
4.64 ***
(0.401)
-2.1 ***
(0.180)
0.375 ***
(0.025)
-0.766 **
(0.324)
-0.245 ***
(0.053)
4.01 ***
(0.128)
0.164
4.04 ***
(0.129)
0.18
-0.245 ***
(0.054)
3.98 ***
(0.129)
0.181
-4.08E+03
-3.98E+03
-3.62E+03
-3.52E+03
-3.55E+03
-3.44E+03
520,626
499,568
467,610
450,038
467,610
450,038
28
Table A1. Ranking of the Measured Location Effect
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
State
Saitama
Fukushima
Osaka
Chiba
Niigata
Toyama
Chiba
Aichi
Hokkaido
Fukuoka
Aichi
Fukui
Tochigi
Tokyo
Kanagawa
Tochigi
Mie
Tokyo
Aichi
Nagano
Tochigi
Aichi
Osaka
Oita
Miyagi
Ibaraki
Niigata
Mie
Saitama
Kochi
Aichi
Fukuoka
Okayama
Nara
Hokkaido
Ehime
Kagawa
Saga
Tokyo
Miyagi
Hokkaido
Tochigi
Shiga
Kyoto
Kagoshima
Aichi
Aichi
Tochigi
Chiba
Aichi
Kumamoto
City/Ward/Town/Village
Hanno-Shi
Kawamata-Machi Date-Gun
Kawachinagano-Shi
Tomisato-Shi
Ojiya-Shi
Kamiichi-Machi Nakaniikawa-Gun
Nagara-Machi Chosei-Gun
Kanie-Cho Ama-Gun
Naie-Cho Sorachi-Gun
Nishi-Ku Fukuoka-Shi
Miwa-cho
Katsuyama-Shi
Tochigi-Shi
Machida-Shi
Hodogaya-Ku Yokohama-Shi
Nasukarasuyama-Shi
Taki-Cho Taki-Gun
Taito-Ku
Aisai-Shi
Matsukawa-Machi Shimoina-Gun
Tsuga-cho
Atsuta-Ku Nagoya-Shi
Suita-Shi
Tsukumi-Shi
Rifu-Cho Miyagi-Gun
Sakuragawa-Shi
Sanjo-Shi
Kawagoe-Cho Mie-Gun
Asaka-Shi
Susaki-Shi
Chita-Shi
Hakata-Ku Fukuoka-Shi
Yakage-Cho Oda-Gun
Katsuragi-Shi
Kushiro-Shi
Ozu-Shi
Sanuki-Shi
Taku-Shi
Inagi-Shi
Kami-Machi Kami-Gun
Hokuto-Shi
Kaminokawa-Machi Kawachi-Gun
Taga-Cho Inukami-Gun
Kumiyama-Cho Kuse-Gun
Hioki-Shi
Konan-Shi
Higashiura-Cho Chita-Gun
Nasu-Machi Nasu-Gun
Narashino-Shi
Miyoshi-cho
Kashima-Machi Kamimashiki-Gun
29
Location
effect
0.767
0.756
0.735
0.617
0.615
0.537
0.486
0.465
0.454
0.430
0.415
0.413
0.382
0.380
0.353
0.352
0.320
0.311
0.307
0.304
0.304
0.303
0.298
0.275
0.260
0.260
0.258
0.255
0.255
0.253
0.253
0.244
0.237
0.228
0.228
0.224
0.224
0.218
0.215
0.214
0.214
0.210
0.210
0.206
0.199
0.198
0.193
0.186
0.185
0.180
0.180
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
State
Saitama
Shizuoka
Akita
Akita
Shizuoka
Miyagi
Aichi
Ibaraki
Kochi
Fukushima
Aichi
Ishikawa
Saitama
Aichi
Nara
Yamagata
Shizuoka
Kagoshima
Ibaraki
Saitama
Gifu
Ibaraki
Hyogo
Niigata
Yamanashi
Saitama
Chiba
Yamaguchi
Hiroshima
Tokyo
Hyogo
Aichi
Nara
Nagano
Saga
Aichi
Aichi
Fukuoka
Oita
Ishikawa
Kanagawa
Saitama
Hiroshima
Miyagi
Shizuoka
Hokkaido
Mie
Okayama
Fukuoka
Gumma
Osaka
Niigata
City/Ward/Town/Village
Kurihashi-cho
Susono-Shi
Yokote-Shi
Odate-Shi
Nagaizumi-Cho Sunto-Gun
Watari-Cho Watari-Gun
Kozakai-cho
Hitachiota-Shi
Ino-Cho Agawa-Gun
Sukagawa-Shi
Nishio-Shi
Hakui-Shi
Koshigaya-Shi
Tokoname-Shi
Kawanishi-Cho Shiki-Gun
Sagae-Shi
Mishima-Shi
Kimotsuki-Cho Kimotsuki-Gun
Ryugasaki-Shi
Kasukabe-Shi
Mizunami-Shi
Itako-Shi
Kasai-Shi
Agano-Shi
Fuefuki-Shi
Ina-Machi Kitaadachi-Gun
Shibayama-Machi Sambu-Gun
Sanyoonoda-Shi
Kaita-Cho Aki-Gun
Akishima-Shi
Tarumi-Ku Kobe-Shi
Taketoyo-Cho Chita-Gun
Tawaramoto-Cho Shiki-Gun
Ina-Shi
Arita-Cho Nishimatsura-Gun
Toyota-Shi
Owariasahi-Shi
Miyama-Shi
Usa-Shi
Nanao-Shi
Aikawa-Machi Aiko-Gun
Fukaya-Shi
Fuchu-Shi
Zao-Machi Katta-Gun
Omaezaki-Shi
Iwamizawa-Shi
Matsusaka-Shi
Takahashi-Shi
Wakamatsu-Ku Kitakyushu-Shi
Kiryu-Shi
Takatsuki-Shi
Sado-Shi
30
Location
effect
0.178
0.175
0.174
0.172
0.168
0.167
0.165
0.164
0.159
0.158
0.157
0.157
0.156
0.156
0.156
0.154
0.154
0.153
0.153
0.152
0.152
0.151
0.149
0.146
0.146
0.145
0.144
0.143
0.142
0.141
0.140
0.137
0.135
0.133
0.133
0.130
0.130
0.128
0.127
0.127
0.126
0.126
0.125
0.125
0.122
0.122
0.121
0.121
0.120
0.120
0.119
0.118
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
State
Kyoto
Okayama
Aichi
Fukuoka
Yamanashi
Shiga
Shimane
Osaka
Saga
Oita
Hokkaido
Miyagi
Saitama
Gifu
Kagoshima
Aichi
Hyogo
Miyagi
Tokyo
Osaka
Hiroshima
Hyogo
Saitama
Fukushima
Osaka
Gumma
Oita
Hyogo
Fukuoka
Nagano
Gifu
Hyogo
Ibaraki
Fukuoka
Shimane
Kagawa
Chiba
Tochigi
Hiroshima
Aichi
Fukuoka
Hiroshima
Osaka
Ibaraki
Fukui
Aichi
Shiga
Ehime
Ishikawa
Nagano
Shiga
Fukuoka
City/Ward/Town/Village
Maizuru-Shi
Misaki-Cho Kume-Gun
Hekinan-Shi
Kasuya-Machi Kasuya-Gun
Kai-Shi
Yasu-Shi
Hamada-Shi
Takaishi-Shi
Takeo-Shi
Nakatsu-Shi
Nayoro-Shi
Shibata-Machi Shibata-Gun
Satte-Shi
Ibigawa-Cho Ibi-Gun
Akune-Shi
Midori-Ku Nagoya-Shi
Kawanishi-Shi
Osato-Cho Kurokawa-Gun
Hamura-Shi
Tadaoka-Cho Semboku-Gun
Akitakata-Shi
Sayo-Cho Sayo-Gun
Shiki-Shi
Aizuwakamatsu-Shi
Kishiwada-Shi
Tatebayashi-Shi
Oita-Shi
Tamba-Shi
Kotake-Machi Kurate-Gun
Saku-Shi
Kakamigahara-Shi
Taka-Cho Taka-Gun
Kitaibaraki-Shi
Iizuka-Shi
Yasugi-Shi
Ayagawa-Cho Ayauta-Gun
Sodegaura-Shi
Utsunomiya-Shi
Kure-Shi
Kariya-Shi
Nogata-Shi
Naka-Ku Hiroshima-Shi
Settsu-Shi
Tsukubamirai-Shi
Echizen-Shi
Kota-Cho Nukata-Gun
Aisho-Cho Echi-Gun
Niihama-Shi
Kahoku-Shi
Miyada-Mura Kamiina-Gun
Konan-Shi
Nakama-Shi
31
Location
effect
0.116
0.116
0.114
0.113
0.112
0.112
0.112
0.111
0.111
0.111
0.110
0.110
0.109
0.109
0.108
0.106
0.106
0.105
0.104
0.104
0.104
0.103
0.102
0.101
0.098
0.097
0.094
0.094
0.093
0.092
0.092
0.092
0.091
0.091
0.091
0.091
0.090
0.090
0.090
0.089
0.089
0.089
0.088
0.088
0.088
0.085
0.085
0.084
0.083
0.083
0.082
0.081
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
State
Fukushima
Nara
Fukuoka
Ishikawa
Ibaraki
Shimane
Chiba
Ibaraki
Kagawa
Kanagawa
Ibaraki
Aichi
Aichi
Aichi
Aichi
Aichi
Kumamoto
Ibaraki
Fukushima
Tokyo
Aichi
Gifu
Toyama
Hokkaido
Aichi
Tochigi
Okayama
Osaka
Shizuoka
Kanagawa
Ibaraki
Fukui
Fukushima
Yamanashi
Kanagawa
Hokkaido
Okayama
Aichi
Nara
Hokkaido
Oita
Osaka
Kagawa
Ibaraki
Shizuoka
Yamaguchi
Hyogo
Saitama
Chiba
Hyogo
Ibaraki
Hyogo
City/Ward/Town/Village
Aizubange-Machi Kawanuma-Gun
Yamatokoriyama-Shi
Moji-Ku Kitakyushu-Shi
Kaga-Shi
Hitachi-Shi
Oda-Shi
Tako-Machi Katori-Gun
Ibaraki-Machi Higashiibaraki-Gun
Naoshima-Cho Kagawa-Gun
Zama-Shi
Goka-Machi Sashima-Gun
Takahama-Shi
Toyokawa-Shi
Toyoake-Shi
Kasugai-Shi
Shinshiro-Shi
Uto-Shi
Kasumigaura-Shi
Motomiya-Shi
Higashikurume-Shi
Komaki-Shi
Nakatsugawa-Shi
Takaoka-Shi
Higashikawa-Cho Kamikawa-Gun
Inazawa-Shi
Haga-Machi Haga-Gun
Kurashiki-Shi
Sennan-Shi
Mori-Machi Shuchi-Gun
Isogo-Ku Yokohama-Shi
Toride-Shi
Echizen-Cho Nyu-Gun
Yabuki-Machi Nishishirakawa-Gun
Chuo-Shi
Kanazawa-Ku Yokohama-Shi
Fukagawa-Shi
Kasaoka-Shi
Handa-Shi
Gose-Shi
Shibetsu-Shi
Usuki-Shi
Izumisano-Shi
Zentsuji-Shi
Tokai-Mura Naka-Gun
Kakegawa-Shi
Hikari-Shi
Himeji-Shi
Konosu-Shi
Ichihara-Shi
Nishiwaki-Shi
Chikusei-Shi
Harima-Cho Kako-Gun
32
Location
effect
0.080
0.080
0.080
0.078
0.078
0.078
0.076
0.075
0.075
0.075
0.074
0.074
0.073
0.073
0.073
0.073
0.072
0.072
0.072
0.072
0.071
0.071
0.070
0.069
0.069
0.068
0.068
0.067
0.067
0.067
0.066
0.066
0.065
0.063
0.063
0.063
0.063
0.063
0.063
0.063
0.063
0.062
0.062
0.061
0.061
0.061
0.061
0.060
0.060
0.059
0.058
0.058
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
State
Saitama
Chiba
Chiba
Kagoshima
Ibaraki
Ibaraki
Saga
Shiga
Tochigi
Shiga
Osaka
Saitama
Hyogo
Fukui
Gifu
Shiga
Niigata
Akita
Gumma
Okayama
Shizuoka
Niigata
Hokkaido
Nagasaki
Kumamoto
Fukuoka
Ishikawa
Kyoto
Saga
Chiba
Fukushima
Saitama
Iwate
Tokushima
Miyazaki
Tokyo
Saitama
Chiba
Tokyo
Tokyo
Ishikawa
Osaka
Hyogo
Toyama
Osaka
Saitama
Kyoto
Aichi
Kanagawa
Tottori
Hyogo
Fukuoka
City/Ward/Town/Village
Yashio-Shi
Narita-Shi
Kujukuri-Machi Sambu-Gun
Shibushi-Shi
Yuki-Shi
Kashima-Shi
Saga-Shi
Hino-Cho Gamo-Gun
Moka-Shi
Hupei-cho
Yao-Shi
Miyoshi-Machi Iruma-Gun
Itami-Shi
Awara-Shi
Kaizu-Shi
Takashima-Shi
Tagami-Machi Minamikambara-Gun
Akita-Shi
Takasaki-Shi
Bizen-Shi
Fujieda-Shi
Nagaoka-Shi
Makubetsu-Cho Nakagawa-Gun
Togitsu-Cho Nishisonogi-Gun
Mashiki-Machi Kamimashiki-Gun
Miyawaka-Shi
Hakusan-Shi
Nagaokakyo-Shi
Kamimine-Cho Miyaki-Gun
Togane-Shi
Soma-Shi
Misato-Machi Kodama-Gun
Ofunato-Shi
Naruto-Shi
Miyazaki-Shi
Akiruno-Shi
Matsubushi-Machi Kitakatsushika-Gun
Funabashi-Shi
Mizuho-Machi Nishitama-Gun
Hachioji-Shi
Shika-Machi Hakui-Gun
Joto-Ku Osaka-Shi
Akashi-Shi
Oyabe-Shi
Kadoma-Shi
Ageo-Shi
Ukyo-Ku Kyoto-Shi
Nakagawa-Ku Nagoya-Shi
Takatsu-Ku Kawasaki-Shi
Kurayoshi-Shi
Amagasaki-Shi
Buzen-Shi
33
Location
effect
0.058
0.058
0.058
0.058
0.057
0.057
0.056
0.056
0.055
0.054
0.052
0.052
0.051
0.050
0.050
0.050
0.050
0.049
0.049
0.049
0.048
0.048
0.048
0.047
0.047
0.047
0.047
0.046
0.046
0.046
0.045
0.045
0.044
0.044
0.043
0.043
0.043
0.043
0.043
0.043
0.042
0.041
0.041
0.041
0.041
0.041
0.041
0.041
0.040
0.039
0.039
0.038
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
State
Fukushima
Kagoshima
Chiba
Fukui
Niigata
Hokkaido
Yamanashi
Gumma
Ibaraki
Okayama
Toyama
Kanagawa
Kanagawa
Fukuoka
Tokyo
Shizuoka
Mie
Tochigi
Saitama
Yamaguchi
Aomori
Saitama
Gifu
Fukuoka
Osaka
Mie
Tochigi
Aichi
Aichi
Miyazaki
Hiroshima
Mie
Gifu
Hokkaido
Shizuoka
Hiroshima
Aichi
Ibaraki
Aichi
Ibaraki
Shiga
Chiba
Fukushima
Gifu
Gifu
Yamanashi
Chiba
Aichi
Gifu
Aichi
Hyogo
Kagoshima
City/Ward/Town/Village
Fukushima-Shi
So-Shi
Kamagaya-Shi
Sabae-Shi
Tsubame-Shi
Obihiro-Shi
Tsuru-Shi
Fujioka-Shi
Joso-Shi
Setochi-Shi
Himi-Shi
Ayase-Shi
Nakahara-Ku Kawasaki-Shi
Munakata-Shi
Koto-Ku
Fuji-Shi
Inabe-Shi
Oyama-Shi
Otone-cho
Iwakuni-Shi
Oirase-Cho Kamikita-Gun
Tsurugashima-Shi
Tarui-Cho Fuwa-Gun
Kanda-Machi Miyako-Gun
Tondabayashi-Shi
Tamaki-Cho Watarai-Gun
Fujioka-cho
Obu-Shi
Tsushima-Shi
Kunitomi-Cho Higashimorokata-Gun
Fukuyama-Shi
Iga-Shi
Kani-Shi
Ishikari-Shi
Yaizu-Shi
Minami-Ku Hiroshima-Shi
Toyohashi-Shi
Naka-Shi
Tokai-Shi
Kamisu-Shi
Kusatsu-Shi
Kisarazu-Shi
Kitakata-Shi
Ono-Cho Ibi-Gun
Ikeda-Cho Ibi-Gun
Minobu-Cho Minamikoma-Gun
Sosa-Shi
Oguchi-Cho Niwa-Gun
Gujo-Shi
Ichinomiya-Shi
Fukusaki-Cho Kanzaki-Gun
Kirishima-Shi
34
Location
effect
0.038
0.038
0.038
0.037
0.037
0.037
0.037
0.037
0.036
0.036
0.035
0.035
0.035
0.033
0.033
0.033
0.032
0.032
0.031
0.030
0.029
0.029
0.028
0.028
0.028
0.028
0.028
0.027
0.027
0.027
0.026
0.026
0.026
0.025
0.025
0.024
0.024
0.023
0.023
0.023
0.022
0.022
0.022
0.021
0.021
0.021
0.019
0.019
0.019
0.018
0.018
0.017
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
State
Nagano
Kyoto
Hiroshima
Oita
Niigata
Saitama
Gifu
Hyogo
Saitama
Tokushima
Hyogo
Hokkaido
Mie
Hokkaido
Saitama
Hokkaido
Shizuoka
Kumamoto
Nara
Chiba
Aichi
Ibaraki
Yamanashi
Fukuoka
Osaka
Shiga
Kagawa
Fukuoka
Mie
Chiba
Tokyo
Hokkaido
Hokkaido
Chiba
Kyoto
Shiga
Hokkaido
Fukui
Mie
Nagano
Miyagi
Tokyo
Osaka
Hokkaido
Niigata
Ibaraki
Hokkaido
Fukuoka
Mie
Kanagawa
Shizuoka
Kanagawa
City/Ward/Town/Village
Minowa-Machi Kamiina-Gun
Ayabe-Shi
Mihara-Shi
Hita-Shi
Myoko-Shi
Yoshimi-Machi Hiki-Gun
Seki-Shi
Kato-Shi
Kawagoe-Shi
Tokushima-Shi
Takasago-Shi
Ashibetsu-Shi
Kameyama-Shi
Hakodate-Shi
Shiraoka-Machi Minamisaitama-Gun
Chitose-Shi
Iwata-Shi
Ueki-cho
Ikoma-Shi
Yachiyo-Shi
Minato-Ku Nagoya-Shi
Shirosato-Machi Higashiibaraki-Gun
Minamiarupusu-Shi
Asakura-Shi
Kaizuka-Shi
Ritto-Shi
Marugame-Shi
Shime-Machi Kasuya-Gun
Suzuka-Shi
Kimitsu-Shi
Sumida-Ku
Shiraoi-Cho Shiraoi-Gun
Muroran-Shi
Chiba
Joyo-Shi
Nagahama-Shi
Mikasa-Shi
Fukui-Shi
Komono-Cho Mie-Gun
Matsumoto-Shi
Iwanuma-Shi
Katsushika-Ku
Sakai
Kamiyuubetsu-cho
Mitsuke-Shi
Omitama-Shi
Furano-Shi
Koga-Shi
Kuwana-Shi
Sagamihara
Numazu-Shi
Hadano-Shi
35
Location
effect
0.017
0.017
0.017
0.016
0.016
0.015
0.014
0.014
0.013
0.013
0.013
0.012
0.012
0.012
0.012
0.011
0.010
0.010
0.009
0.009
0.008
0.008
0.008
0.008
0.008
0.007
0.007
0.007
0.006
0.006
0.006
0.006
0.006
0.006
0.005
0.005
0.004
0.003
0.003
0.003
0.003
0.000
0.000
0.000
0.000
0.000
-0.001
-0.001
-0.001
-0.002
-0.002
-0.003
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
State
Nagano
Shizuoka
Hokkaido
Osaka
Mie
Saga
Yamanashi
Chiba
Yamagata
Saitama
Iwate
Saga
Hokkaido
Nagasaki
Nagasaki
Toyama
Aichi
Kumamoto
Ishikawa
Saitama
Tochigi
Fukuoka
Kagoshima
Hokkaido
Gifu
Ibaraki
Fukuoka
Fukushima
Hokkaido
Miyagi
Chiba
Kanagawa
Nagano
Fukuoka
Miyagi
Fukushima
Yamagata
Okayama
Tochigi
Yamaguchi
Hiroshima
Hyogo
Toyama
Hiroshima
Ibaraki
Hokkaido
Iwate
Hyogo
Gifu
Akita
Kanagawa
Shizuoka
City/Ward/Town/Village
Chino-Shi
Makinohara-Shi
Ebetsu-Shi
Suminoe-Ku Osaka-Shi
Ise-Shi
Kiyama-Cho Miyaki-Gun
Hokuto-Shi
Futtsu-Shi
Higashine-Shi
Honjo-Shi
Miyako-Shi
Miyaki-Cho Miyaki-Gun
Takikawa-Shi
Omura-Shi
Nagasaki-Shi
Tonami-Shi
Okazaki-Shi
Nagasu-Machi Tamana-Gun
Tsubata-Machi Kahoku-Gun
Higashimatsuyama-Shi
Nasushiobara-Shi
Yukuhashi-Shi
Aira-cho
Higashi-Ku Sapporo-Shi
Yoro-Cho Yoro-Gun
Koga-Shi
Yahatahigashi-Ku Kitakyushu-Shi
Hirata-Mura Ishikawa-Gun
Tomakomai-Shi
Tagajo-Shi
Kashiwa-Shi
Samukawa-Machi Koza-Gun
Komoro-Shi
Hirokawa-Machi Yame-Gun
Tome-Shi
Kagamiishi-Machi Iwase-Gun
Shonai-Machi Higashitagawa-Gun
Okayama
Shimotsuke-Shi
Tabuse-Cho Kumage-Gun
Higashihiroshima-Shi
Nagata-Ku Kobe-Shi
Tateyama-Machi Nakaniikawa-Gun
Kitahiroshima-Cho Yamagata-Gun
Inashiki-Shi
Otaru-Shi
Morioka-Shi
Toyoka-Shi
Gero-Shi
Mitane-Cho Yamamoto-Gun
Isehara-Shi
Hamamatsu
36
Location
effect
-0.003
-0.003
-0.004
-0.004
-0.004
-0.005
-0.006
-0.006
-0.007
-0.007
-0.007
-0.007
-0.007
-0.007
-0.008
-0.008
-0.009
-0.009
-0.009
-0.010
-0.011
-0.011
-0.011
-0.012
-0.012
-0.013
-0.013
-0.013
-0.013
-0.014
-0.014
-0.015
-0.015
-0.015
-0.016
-0.017
-0.018
-0.018
-0.018
-0.018
-0.019
-0.020
-0.020
-0.021
-0.021
-0.021
-0.021
-0.022
-0.022
-0.022
-0.023
-0.023
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
State
Kochi
Saitama
Gifu
Nagano
Ehime
Yamaguchi
Saga
Gifu
Shiga
Miyagi
Kagoshima
Toyama
Gumma
Toyama
Saitama
Aichi
Saitama
Akita
Gifu
Okayama
Shiga
Ehime
Okayama
Gifu
Miyagi
Tokushima
Chiba
Aomori
Fukui
Kanagawa
Saitama
Saitama
Iwate
Miyazaki
Hokkaido
Aichi
Niigata
Aomori
Tokyo
Fukuoka
Kagawa
Fukuoka
Nagano
Kumamoto
Mie
Shiga
Saitama
Hokkaido
Gifu
Niigata
Hokkaido
Shizuoka
City/Ward/Town/Village
Tosa-Shi
Saitama
Gifu-Shi
Takayama-Mura Kamitakai-Gun
Shikokuchuo-Shi
Hirao-Cho Kumage-Gun
Imari-Shi
Tajimi-Shi
Otsu-Shi
Osaki-Shi
Satsumasendai-Shi
Toyama-Shi
Ota-Shi
Nanto-Shi
Sayama-Shi
Anjo-Shi
Toda-Shi
Kitaakita-Shi
Mino-Shi
Mimasaka-Shi
Hikone-Shi
Iyo-Shi
Niimi-Shi
Motosu-Shi
Sendai
Anan-Shi
Choshi-Shi
Tsugaru-Shi
Tsuruga-Shi
Ebina-Shi
Kisai-cho
Gyoda-Shi
Oshu-Shi
Ebino-Shi
Nakasatsunai-Mura Kasai-Gun
Tobishima-Mura Ama-Gun
Niigata
Hirosaki-Shi
Adachi-Ku
Higashi-Ku Fukuoka-Shi
Tadotsu-Cho Nakatado-Gun
Ukiha-Shi
Azumino-Shi
Kikuchi-Shi
Tsu-Shi
Koka-Shi
Kawaguchi-Shi
Rumoi-Shi
Yaotsu-Cho Kamo-Gun
Minamiuonuma-Shi
Asahikawa-Shi
Kikugawa-Shi
37
Location
effect
-0.023
-0.023
-0.023
-0.024
-0.024
-0.024
-0.024
-0.024
-0.025
-0.025
-0.025
-0.025
-0.025
-0.026
-0.026
-0.026
-0.027
-0.027
-0.029
-0.029
-0.030
-0.030
-0.030
-0.031
-0.031
-0.032
-0.032
-0.033
-0.033
-0.033
-0.033
-0.034
-0.034
-0.035
-0.035
-0.035
-0.036
-0.036
-0.036
-0.037
-0.037
-0.037
-0.037
-0.038
-0.038
-0.038
-0.038
-0.039
-0.039
-0.040
-0.041
-0.041
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
State
Aichi
Chiba
Kumamoto
Saitama
Tochigi
Shizuoka
Kyoto
Saitama
Hyogo
Wakayama
Chiba
Fukuoka
Kumamoto
Osaka
Saitama
Ehime
Fukuoka
Tokushima
Miyagi
Wakayama
Hyogo
Tokyo
Kyoto
Saitama
Hyogo
Hokkaido
Fukui
Kanagawa
Saitama
Chiba
Hyogo
Tochigi
Shimane
Osaka
Ibaraki
Chiba
Hiroshima
Nagasaki
Fukushima
Fukuoka
Kumamoto
Kanagawa
Gifu
Hokkaido
Tochigi
Chiba
Shizuoka
Hyogo
Miyazaki
Osaka
Tottori
Saitama
City/Ward/Town/Village
Mizuho-Ku Nagoya-Shi
Shiroi-Shi
Yamaga-Shi
Soka-Shi
Mibu-Machi Shimotsuga-Gun
Gotemba-Shi
Minami-Ku Kyoto-Shi
Kitakawabe-cho
Inami-Cho Kako-Gun
Kinokawa-Shi
Matsudo-Shi
Okawa-Shi
Tamana-Shi
Higashiyodogawa-Ku Osaka-Shi
Kazo-Shi
Saijo-Shi
Mizumaki-Machi Onga-Gun
Miyoshi-Shi
Marumori-Machi Igu-Gun
Wakayama-Shi
Kakogawa-Shi
Hinode-Machi Nishitama-Gun
Fushimi-Ku Kyoto-Shi
Misato-Shi
Hyogo-Ku Kobe-Shi
Kuriyama-Cho Yubari-Gun
Sakai-Shi
Midori-Ku Yokohama-Shi
Shobu-cho
Urayasu-Shi
Nishinomiya-Shi
Sakura-Shi
Gotsu-Shi
Konohana-Ku Osaka-Shi
Ishioka-Shi
Yokoshibahikari-Machi Sambu-Gun
Hatsukaichi-Shi
Isahaya-Shi
Shirakawa-Shi
Sue-Machi Kasuya-Gun
Ozu-Machi Kikuchi-Gun
Atsugi-Shi
Ena-Shi
Kitahiroshima-Shi
Nikko-Shi
Sakura-Shi
Fukuroi-Shi
Ichikawa-Cho Kanzaki-Gun
Miyakonojo-Shi
Daito-Shi
Tottori-Shi
Fujimi-Shi
38
Location
effect
-0.041
-0.042
-0.042
-0.042
-0.042
-0.043
-0.044
-0.044
-0.044
-0.044
-0.044
-0.044
-0.045
-0.045
-0.046
-0.046
-0.046
-0.046
-0.046
-0.046
-0.047
-0.047
-0.047
-0.047
-0.047
-0.048
-0.048
-0.048
-0.048
-0.048
-0.048
-0.049
-0.049
-0.049
-0.049
-0.050
-0.050
-0.050
-0.050
-0.051
-0.051
-0.052
-0.052
-0.052
-0.052
-0.053
-0.053
-0.054
-0.054
-0.055
-0.055
-0.055
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
State
Fukuoka
Fukushima
Shiga
Okayama
Gifu
Aichi
Saitama
Niigata
Aomori
Niigata
Aichi
Ehime
Fukushima
Kyoto
Kyoto
Saitama
Ibaraki
Tokyo
Hyogo
Saitama
Osaka
Kanagawa
Kumamoto
Ehime
Osaka
Ibaraki
Fukuoka
Osaka
Toyama
Osaka
Yamagata
Aichi
Yamagata
Kanagawa
Yamaguchi
Yamaguchi
Hyogo
Chiba
Yamaguchi
Kanagawa
Saga
Kagoshima
Gifu
Niigata
Shizuoka
Miyazaki
Okinawa
Toyama
Fukushima
Niigata
Chiba
Shizuoka
City/Ward/Town/Village
Tagawa-Shi
Minamisoma-Shi
Higashiomi-Shi
Maniwa-Shi
Takayama-Shi
Seto-Shi
Yoshikawa-Shi
Shibata-Shi
Aomori-Shi
Yahiko-Mura Nishikambara-Gun
Minami-Ku Nagoya-Shi
Matsuyama-Shi
Date-Shi
Kizugawa-Shi
Kameoka-Shi
Hanyu-Shi
Yachiyo-Machi Yuki-Gun
Shinagawa-Ku
Miki-Shi
Hidaka-Shi
Nishiyodogawa-Ku Osaka-Shi
Hiratsuka-Shi
Yatsushiro-Shi
Seiyo-Shi
Higashiosaka-Shi
Kasama-Shi
Kurate-Machi Kurate-Gun
Miyakojima-Ku Osaka-Shi
Imizu-Shi
Hirakata-Shi
Kahoku-Cho Nishimurayama-Gun
Inuyama-Shi
Nagai-Shi
Saiwai-Ku Kawasaki-Shi
Hofu-Shi
Ube-Shi
Sasayama-Shi
Noda-Shi
Yamaguchi-Shi
Odawara-Shi
Yoshinogari-Cho Kanzaki-Gun
Kagoshima-Shi
Minokamo-Shi
Itoigawa-Shi
Shizuoka
Nobeoka-Shi
Urasoe-Shi
Uozu-Shi
Tamura-Shi
Kashiwazaki-Shi
Sammu-Shi
Oyama-Cho Sunto-Gun
39
Location
effect
-0.056
-0.056
-0.057
-0.057
-0.058
-0.058
-0.058
-0.059
-0.059
-0.060
-0.060
-0.060
-0.060
-0.060
-0.061
-0.061
-0.062
-0.062
-0.063
-0.063
-0.064
-0.064
-0.064
-0.064
-0.064
-0.064
-0.065
-0.065
-0.065
-0.065
-0.065
-0.065
-0.066
-0.066
-0.066
-0.066
-0.066
-0.067
-0.067
-0.067
-0.068
-0.068
-0.068
-0.068
-0.069
-0.070
-0.073
-0.073
-0.073
-0.073
-0.073
-0.074
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
State
Nara
Hokkaido
Osaka
Ishikawa
Toyama
Aichi
Nagano
Gifu
Ibaraki
Fukushima
Tochigi
Okayama
Shizuoka
Kagawa
Kanagawa
Saitama
Yamanashi
Osaka
Osaka
Kanagawa
Nagano
Ishikawa
Okayama
Osaka
Gumma
Yamanashi
Hyogo
Yamagata
Aomori
Gifu
Tochigi
Tokyo
Fukushima
Shizuoka
Fukushima
Saitama
Gifu
Toyama
Tokushima
Gumma
Kagawa
Kagoshima
Kumamoto
Shiga
Tokyo
Aichi
Ibaraki
Niigata
Niigata
Aichi
Shizuoka
Saitama
City/Ward/Town/Village
Nara-Shi
Bibai-Shi
Izumiotsu-Shi
Kanazawa-Shi
Kurobe-Shi
Higashi-Ku Nagoya-Shi
Shiojiri-Shi
Mitake-Cho Kani-Gun
Bando-Shi
Nihommatsu-Shi
Ashikaga-Shi
Tamano-Shi
Fujinomiya-Shi
Takamatsu-Shi
Kawasaki-Ku Kawasaki-Shi
Kamikawa-Machi Kodama-Gun
Kofu-Shi
Hirano-Ku Osaka-Shi
Asahi-Ku Osaka-Shi
Yamato-Shi
Tomi-Shi
Nomi-Shi
Soja-Shi
Matsubara-Shi
Oizumi-Machi Ora-Gun
Nirasaki-Shi
Ono-Shi
Takahata-Machi Higashiokitama-Gun
Hachinohe-Shi
Toki-Shi
Kanuma-Shi
Arakawa-Ku
Iwaki-Shi
Yoshida-Cho Haibara-Gun
Tanagura-Machi Higashishirakawa-Gun
Ogawa-Machi Hiki-Gun
Ogaki-Shi
Namerikawa-Shi
Awa-Shi
Chiyoda-Machi Ora-Gun
Mitoyo-Shi
Yusui-Cho Aira-Gun
Kumamoto-Shi
Maibara-Shi
Ota-Ku
Oharu-Cho Ama-Gun
Hitachinaka-Shi
Seiro-Machi Kitakambara-Gun
Murakami-Shi
Gamagori-Shi
Shimada-Shi
Iruma-Shi
40
Location
effect
-0.074
-0.075
-0.075
-0.075
-0.076
-0.076
-0.076
-0.077
-0.077
-0.077
-0.077
-0.077
-0.078
-0.078
-0.078
-0.078
-0.078
-0.078
-0.079
-0.079
-0.080
-0.080
-0.080
-0.081
-0.081
-0.082
-0.082
-0.082
-0.083
-0.083
-0.084
-0.085
-0.085
-0.086
-0.086
-0.086
-0.086
-0.087
-0.087
-0.087
-0.087
-0.088
-0.088
-0.088
-0.088
-0.089
-0.089
-0.090
-0.090
-0.090
-0.091
-0.092
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
State
Saitama
Saitama
Mie
Hiroshima
Hiroshima
Aichi
Iwate
Kanagawa
Fukuoka
Gumma
Miyagi
Yamaguchi
Ibaraki
Nagano
Saga
Osaka
Niigata
Ibaraki
Gumma
Hiroshima
Okayama
Fukuoka
Saitama
Fukuoka
Tokyo
Saitama
Tochigi
Ibaraki
Fukuoka
Nara
Fukuoka
Tokyo
Ehime
Akita
Kyoto
Hokkaido
Yamaguchi
Tochigi
Hokkaido
Miyagi
Kyoto
Iwate
Miyagi
Nagano
Fukuoka
Yamaguchi
Aichi
Hyogo
Aichi
Nagano
Mie
Chiba
City/Ward/Town/Village
Sakado-Shi
Kamisato-Machi Kodama-Gun
Meiwa-Cho Taki-Gun
Asakita-Ku Hiroshima-Shi
Asaminami-Ku Hiroshima-Shi
Chiryu-Shi
Kitakami-Shi
Fujisawa-Shi
Shingu-Machi Kasuya-Gun
Maebashi-Shi
Shikama-Cho Kami-Gun
Shunan-Shi
Hitachiomiya-Shi
Ueda-Shi
Kanzaki-Shi
Tsurumi-Ku Osaka-Shi
Tokamachi-Shi
Tsukuba-Shi
Ora-Machi Ora-Gun
Takehara-Shi
Tsuyama-Shi
Keisen-Machi Kaho-Gun
Kawajima-Machi Hiki-Gun
Tobata-Ku Kitakyushu-Shi
Ome-Shi
Kitamoto-Shi
Shioya-Machi Shioya-Gun
Shimotsuma-Shi
Kama-Shi
Tenri-Shi
Chikushino-Shi
Meguro-Ku
Yawatahama-Shi
Noshiro-Shi
Yamashina-Ku Kyoto-Shi
Mombetsu-Shi
Mine-Shi
Nogi-Machi Shimotsuga-Gun
Eniwa-Shi
Ishinomaki-Shi
Nantan-Shi
Ichinoseki-Shi
Murata-Machi Shibata-Gun
Iida-Shi
Omuta-Shi
Shimonoseki-Shi
Kitanagoya-Shi
Asago-Shi
Kiyosu-Shi
Chikuma-Shi
Yokkaichi-Shi
Katori-Shi
41
Location
effect
-0.093
-0.093
-0.093
-0.095
-0.095
-0.095
-0.096
-0.096
-0.096
-0.096
-0.097
-0.097
-0.097
-0.097
-0.097
-0.102
-0.104
-0.104
-0.105
-0.105
-0.105
-0.105
-0.105
-0.105
-0.105
-0.106
-0.106
-0.106
-0.107
-0.107
-0.107
-0.108
-0.108
-0.108
-0.108
-0.110
-0.110
-0.111
-0.111
-0.111
-0.112
-0.113
-0.114
-0.114
-0.115
-0.115
-0.115
-0.115
-0.116
-0.116
-0.118
-0.119
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
State
Saitama
Hyogo
Kanagawa
Yamagata
Chiba
Kanagawa
Saitama
Hokkaido
Tokyo
Kyoto
Fukushima
Gumma
Ibaraki
Fukuoka
Tochigi
Kagoshima
Gumma
Fukushima
Mie
Miyagi
Osaka
Nagano
Tokyo
Ibaraki
Tokyo
Osaka
Ibaraki
Osaka
Osaka
Kanagawa
Fukuoka
Fukuoka
Kagawa
Osaka
Fukuoka
Osaka
Fukushima
Tokyo
Niigata
Tokushima
Saitama
Saga
Miyazaki
Aomori
Yamagata
Hokkaido
Saitama
Hyogo
Fukuoka
Shiga
Kyoto
Gifu
City/Ward/Town/Village
Okegawa-Shi
Higashinada-Ku Kobe-Shi
Kamakura-Shi
Yonezawa-Shi
Ichikawa-Shi
Seya-Ku Yokohama-Shi
Kumagaya-Shi
Nishi-Ku Sapporo-Shi
Edogawa-Ku
Kyotango-Shi
Koriyama-Shi
Shibukawa-Shi
Tsuchiura-Shi
Kokuraminami-Ku Kitakyushu-Shi
Otawara-Shi
Kanoya-Shi
Isesaki-Shi
Nishigo-Mura Nishishirakawa-Gun
Nabari-Shi
Kurihara-Shi
Ibaraki-Shi
Suzaka-Shi
Nerima-Ku
Ami-Machi Inashiki-Gun
Itabashi-Ku
Fujiidera-Shi
Takahagi-Shi
Kashiwara-Shi
Taisho-Ku Osaka-Shi
Naka-Ku Yokohama-Shi
Kokurakita-Ku Kitakyushu-Shi
Chikugo-Shi
Kanonji-Shi
Ikuno-Ku Osaka-Shi
Oki-Machi Mizuma-Gun
Toyonaka-Shi
Ono-Machi Tamura-Gun
Kita-Ku
Joetsu-Shi
Komatsushima-Shi
Kuki-Shi
Tosu-Shi
Nichinan-Shi
Rokunohe-Machi Kamikita-Gun
Yamagata-Shi
Hidaka-Cho Saru-Gun
Tokigawa-Machi Hiki-Gun
Shiso-Shi
Chikuzen-Machi Asakura-Gun
Moriyama-Shi
Fukuchiyama-Shi
Ampachi-Cho Ampachi-Gun
42
Location
effect
-0.121
-0.122
-0.122
-0.122
-0.124
-0.124
-0.124
-0.125
-0.125
-0.125
-0.126
-0.126
-0.127
-0.127
-0.127
-0.128
-0.128
-0.129
-0.129
-0.129
-0.130
-0.131
-0.133
-0.134
-0.135
-0.135
-0.136
-0.137
-0.137
-0.137
-0.137
-0.138
-0.138
-0.138
-0.139
-0.140
-0.140
-0.140
-0.141
-0.141
-0.142
-0.142
-0.143
-0.143
-0.144
-0.144
-0.145
-0.145
-0.145
-0.145
-0.146
-0.146
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
State
Hyogo
Tochigi
Hyogo
Tochigi
Nara
Kumamoto
Gifu
Shimane
Kanagawa
Gifu
Tottori
Gifu
Okayama
Saitama
Osaka
Ishikawa
Hyogo
Chiba
Gifu
Kanagawa
Shimane
Gumma
Chiba
Aichi
Hokkaido
Hokkaido
Osaka
Tottori
Kanagawa
Tokyo
Saitama
Akita
Fukushima
Iwate
Aichi
Nagano
Yamagata
Gifu
Hiroshima
Nagano
Ibaraki
Mie
Yamaguchi
Kanagawa
Kanagawa
Ehime
Aichi
Nara
Niigata
Miyagi
Akita
Aichi
City/Ward/Town/Village
Sanda-Shi
Sano-Shi
Tatsuno-Shi
Nishikata-Machi Kamitsuga-Gun
Oji-Cho Kitakatsuragi-Gun
Uki-Shi
Hashima-Shi
Izumo-Shi
Kohoku-Ku Yokohama-Shi
Kawabe-Cho Kamo-Gun
Hokuei-Cho Tohaku-Gun
Mizuho-Shi
Shoo-Cho Katsuta-Gun
Ranzan-Machi Hiki-Gun
Neyagawa-Shi
Komatsu-Shi
Ako-Shi
Mobara-Shi
Godo-Cho Ampachi-Gun
Totsuka-Ku Yokohama-Shi
Unnan-Shi
Numata-Shi
Nagareyama-Shi
Naka-Ku Nagoya-Shi
Noboribetsu-Shi
Kitami-Shi
Yodogawa-Ku Osaka-Shi
Yonago-Shi
Tsurumi-Ku Yokohama-Shi
Chofu-Shi
Tokorozawa-Shi
Daisen-Shi
Futaba-Machi Futaba-Gun
Kamaishi-Shi
Kita-Ku Nagoya-Shi
Suwa-Shi
Murayama-Shi
Yamagata-Shi
Onomichi-Shi
Okaya-Shi
Sakai-Machi Sashima-Gun
Toin-Cho Inabe-Gun
Kudamatsu-Shi
Chigasaki-Shi
Yokosuka-Shi
Toon-Shi
Yatomi-Shi
Gojo-Shi
Uonuma-Shi
Misato-Machi Toda-Gun
Yuzawa-Shi
Togo-Cho Aichi-Gun
43
Location
effect
-0.146
-0.146
-0.146
-0.148
-0.148
-0.149
-0.150
-0.152
-0.153
-0.154
-0.154
-0.155
-0.155
-0.156
-0.156
-0.157
-0.159
-0.160
-0.160
-0.160
-0.163
-0.164
-0.164
-0.165
-0.166
-0.168
-0.170
-0.173
-0.174
-0.174
-0.175
-0.176
-0.177
-0.177
-0.179
-0.181
-0.181
-0.182
-0.182
-0.182
-0.185
-0.187
-0.189
-0.189
-0.191
-0.193
-0.193
-0.193
-0.195
-0.196
-0.196
-0.197
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
Location
effect
Iwate
Hachimantai-Shi
-0.197
Ibaraki
Ushiku-Shi
-0.199
Nagano
Nagano-Shi
-0.203
Osaka
Moriguchi-Shi
-0.203
Hokkaido Shinhidaka-Cho Hidaka-Gun
-0.207
Chiba
Asahi-Shi
-0.208
Miyagi
Ohira-Mura Kurokawa-Gun
-0.208
Fukuoka Umi-Machi Kasuya-Gun
-0.209
Yamanashi Ichikawamisato-Cho Nishiyatsushiro-Gun -0.210
Saitama
Yokoze-Machi Chichibu-Gun
-0.210
Hokkaido Akabira-Shi
-0.211
Shiga
Ryuo-Cho Gamo-Gun
-0.212
Okayama Ibara-Shi
-0.214
Iwate
Hanamaki-Shi
-0.214
Saitama
Namegawa-Machi Hiki-Gun
-0.215
Fukui
Wakasa-Cho Mikatakaminaka-Gun
-0.216
Shimane Matsue-Shi
-0.218
Tochigi
Yaita-Shi
-0.222
Ehime
Imabari-Shi
-0.222
Fukuoka Miyako-Machi Miyako-Gun
-0.222
Saitama
Fujimino-Shi
-0.224
Shiga
Omihachiman-Shi
-0.224
Hiroshima Saeki-Ku Hiroshima-Shi
-0.224
Kagawa
Miki-Cho Kita-Gun
-0.225
Nagano
Komagane-Shi
-0.227
Fukui
Takahama-Cho Oi-Gun
-0.230
Oita
Bungoono-Shi
-0.231
Hyogo
Minamiawaji-Shi
-0.231
Hiroshima Shobara-Shi
-0.236
Miyagi
Shiroishi-Shi
-0.241
Gifu
Hida-Shi
-0.244
Yamagata Nanyo-Shi
-0.246
Kanagawa Nakai-Machi Ashigarakami-Gun
-0.250
Tokyo
Fuchu-Shi
-0.254
Fukuoka Yame-Shi
-0.254
Osaka
Nishinari-Ku Osaka-Shi
-0.256
Hiroshima Miyoshi-Shi
-0.256
Gumma
Tamamura-Machi Sawa-Gun
-0.257
Gumma
Annaka-Shi
-0.259
Osaka
Minato-Ku Osaka-Shi
-0.259
Okayama Akaiwa-Shi
-0.260
Kanagawa Kaisei-Machi Ashigarakami-Gun
-0.261
Kagawa
Higashikagawa-Shi
-0.262
Kyoto
Ujitawara-Cho Tsuzuki-Gun
-0.264
Yamagata Tendo-Shi
-0.267
Gumma
Meiwa-Machi Ora-Gun
-0.267
Tochigi
Nakagawa-Machi Nasu-Gun
-0.268
Nagano
Tatsuno-Machi Kamiina-Gun
-0.269
Yamagata Tsuruoka-Shi
-0.272
Kagawa
Manno-Cho Nakatado-Gun
-0.276
Hyogo
Awaji-Shi
-0.285
Chiba
Isumi-Shi
-0.289
State
City/Ward/Town/Village
44
Industry Ranking
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
State
Fukuoka
Saitama
Yamagata
Ibaraki
Shizuoka
Kochi
Osaka
Nagasaki
Hokkaido
Hokkaido
Miyazaki
Osaka
Saitama
Hyogo
Shimane
Kyoto
Fukuoka
Nara
Tottori
Shimane
Hokkaido
Aichi
Akita
Shizuoka
Iwate
Hokkaido
Fukuoka
Gumma
Kyoto
Kochi
Nagasaki
Hokkaido
Yamagata
Miyagi
Nagano
Fukuoka
Okinawa
Nara
Tokyo
Okinawa
Yamaguchi
Wakayama
Hyogo
Ehime
Kumamoto
Yamanashi
Niigata
Okinawa
Saitama
Gumma
Kumamoto
Nagasaki
City/Ward/Town/Village
Kawara-Machi Tagawa-Gun
Sugito-Machi Kitakatsushika-Gun
Shinjo-Shi
Mito-Shi
Shimizu-Cho Sunto-Gun
Kochi-Shi
Katano-Shi
Kawatana-Cho Higashisonogi-Gun
Shiranuka-Cho Shiranuka-Gun
Higashikagura-Cho Kamikawa-Gun
Hyuga-Shi
Habikino-Shi
Niiza-Shi
Kamikawa-Cho Kanzaki-Gun
Masuda-Shi
Yawata-Shi
Yahatanishi-Ku Kitakyushu-Shi
Kashihara-Shi
Sakaiminato-Shi
Okuizumo-Cho Nita-Gun
Abira-Cho Yufutsu-Gun
Moriyama-Ku Nagoya-Shi
Semboku-Shi
Izunokuni-Shi
Iwaizumi-Cho Shimohei-Gun
Engaru-Cho Mombetsu-Gun
Sasaguri-Machi Kasuya-Gun
Tomioka-Shi
Kyotamba-Cho Funai-Gun
Nankoku-Shi
Hasami-Cho Higashisonogi-Gun
Shiroishi-Ku Sapporo-Shi
Sakata-Shi
Yamamoto-Cho Watari-Gun
Nagiso-Machi Kiso-Gun
Kurume-Shi
Nishihara-Cho Nakagami-Gun
Ikaruga-Cho Ikoma-Gun
Setagaya-Ku
Naha-Shi
Hagi-Shi
Hirogawa-Cho Arida-Gun
Takarazuka-Shi
Uchiko-Cho Kita-Gun
Nishiki-Machi Kuma-Gun
Yamanashi-Shi
Aga-Machi Higashikambara-Gun
Okinawa-Shi
Chichibu-Shi
Minakami-Machi Tone-Gun
Asagiri-Cho Kuma-Gun
Sasebo-Shi
45
Location
effect
-0.290
-0.291
-0.295
-0.297
-0.297
-0.300
-0.303
-0.305
-0.305
-0.305
-0.306
-0.310
-0.317
-0.318
-0.320
-0.324
-0.338
-0.341
-0.362
-0.363
-0.364
-0.365
-0.376
-0.377
-0.381
-0.386
-0.387
-0.393
-0.394
-0.394
-0.402
-0.403
-0.408
-0.422
-0.426
-0.427
-0.439
-0.466
-0.475
-0.487
-0.495
-0.508
-0.514
-0.517
-0.522
-0.534
-0.542
-0.590
-0.590
-0.608
-0.625
-0.685
Industry Ranking
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
884
885
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
State
Akita
Hokkaido
Hyogo
Aichi
Shizuoka
Tokyo
Saitama
Shiga
Shizuoka
Toyama
Toyama
Yamagata
Saitama
Ibaraki
Saitama
Saitama
Tokyo
Hyogo
Kanagawa
Shiga
Ishikawa
Tochigi
Aichi
Hyogo
Kanagawa
Kanagawa
Shizuoka
Osaka
Fukuoka
Osaka
Okayama
Kanagawa
Shizuoka
Yamagata
Yamaguchi
Tokyo
Shiga
Shizuoka
Okayama
Shizuoka
Fukushima
Gumma
Tochigi
Chiba
Fukushima
Gumma
Miyazaki
Ehime
Hyogo
Kanagawa
Ibaraki
Aichi
City/Ward/Town/Village
Yurihonjo-Shi
Minami-Ku Sapporo-Shi
Miki-Shi
Inuyama-Shi
Yaizu-Shi
Mitaka-Shi
Hanyu-Shi
Yasu-Shi
Gotemba-Shi
Namerikawa-Shi
Kamiichi-Machi Nakaniikawa-Gun
Sakata-Shi
Yashio-Shi
Tsukuba-Shi
Kumagaya-Shi
Kasukabe-Shi
Sumida-Ku
Sanda-Shi
Kamakura-Shi
Taga-Cho Inukami-Gun
Nomi-Shi
Mibu-Machi Shimotsuga-Gun
Miyoshi-cho
Ono-Shi
Chigasaki-Shi
Sagamihara
Yoshida-Cho Haibara-Gun
Kita-Ku Osaka-Shi
Iizuka-Shi
Takatsuki-Shi
Setochi-Shi
Kanazawa-Ku Yokohama-Shi
Nagaizumi-Cho Sunto-Gun
Tendo-Shi
Waki-Cho Kuga-Gun
Shinagawa-Ku
Moriyama-Shi
Fukuroi-Shi
Shoo-Cho Katsuta-Gun
Fujinomiya-Shi
Okuma-Machi Futaba-Gun
Ota-Shi
Otawara-Shi
Funabashi-Shi
Iwaki-Shi
Takasaki-Shi
Nobeoka-Shi
Saijo-Shi
Fukusaki-Cho Kanzaki-Gun
Totsuka-Ku Yokohama-Shi
Kashima-Shi
Toyota-Shi
46
Location
effect
-0.718
-0.789
1.001
0.866
0.693
0.596
0.503
0.489
0.475
0.443
0.427
0.413
0.406
0.405
0.390
0.389
0.379
0.373
0.359
0.356
0.340
0.339
0.339
0.335
0.319
0.314
0.310
0.308
0.306
0.297
0.293
0.283
0.282
0.265
0.256
0.251
0.236
0.235
0.227
0.221
0.221
0.209
0.208
0.204
0.202
0.191
0.190
0.184
0.173
0.167
0.166
0.164
Industry Ranking
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
State
Hyogo
Kanagawa
Saitama
Shizuoka
Yamaguchi
Okayama
Saitama
Akita
Saitama
Fukuoka
Kyoto
Yamaguchi
Osaka
Saitama
Tokyo
Miyagi
Gifu
Osaka
Niigata
Tokyo
Saitama
Chiba
Saitama
Toyama
Saitama
Kagawa
Tokyo
Aichi
Tokyo
Nagano
Shiga
Okayama
Yamaguchi
Chiba
Fukuoka
Ibaraki
Ibaraki
Kanagawa
Shizuoka
Tochigi
Niigata
Hokkaido
Kanagawa
Shiga
Hyogo
Osaka
Tokyo
Yamaguchi
Osaka
Aichi
Gumma
Ibaraki
City/Ward/Town/Village
Akashi-Shi
Minamiashigara-Shi
Namegawa-Machi Hiki-Gun
Fuji-Shi
Iwakuni-Shi
Misaki-Cho Kume-Gun
Honjo-Shi
Akita-Shi
Saitama
Moji-Ku Kitakyushu-Shi
Kumiyama-Cho Kuse-Gun
Ube-Shi
Takaishi-Shi
Kuki-Shi
Hachioji-Shi
Sendai
Gifu-Shi
Izumiotsu-Shi
Niigata
Katsushika-Ku
Koshigaya-Shi
Sakura-Shi
Fujimino-Shi
Takaoka-Shi
Kawagoe-Shi
Marugame-Shi
Ota-Ku
Chita-Shi
Higashimurayama-Shi
Nagano-Shi
Koka-Shi
Okayama
Shunan-Shi
Chiba
Yahatanishi-Ku Kitakyushu-Shi
Takahagi-Shi
Ami-Machi Inashiki-Gun
Odawara-Shi
Iwata-Shi
Shimotsuke-Shi
Joetsu-Shi
Kushiro-Shi
Kawasaki-Ku Kawasaki-Shi
Kusatsu-Shi
Tatsuno-Shi
Ibaraki-Shi
Kita-Ku
Shimonoseki-Shi
Tsurumi-Ku Osaka-Shi
Okazaki-Shi
Shibukawa-Shi
Sakuragawa-Shi
47
Location
effect
0.161
0.155
0.154
0.151
0.149
0.145
0.144
0.140
0.134
0.131
0.124
0.122
0.114
0.114
0.112
0.110
0.109
0.107
0.106
0.099
0.097
0.096
0.088
0.084
0.083
0.080
0.078
0.073
0.073
0.073
0.071
0.070
0.066
0.062
0.061
0.059
0.051
0.043
0.041
0.038
0.037
0.037
0.035
0.035
0.033
0.032
0.030
0.030
0.029
0.025
0.023
0.020
Industry Ranking
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
State
Shiga
Aichi
Aichi
Osaka
Chiba
Tochigi
Chiba
Fukui
Kanagawa
Chiba
Yamagata
Kyoto
Kanagawa
Gifu
Toyama
Osaka
Kanagawa
Hokkaido
Tokyo
Fukuoka
Fukuoka
Ibaraki
Saitama
Shizuoka
Aichi
Fukushima
Aichi
Fukuoka
Hyogo
Oita
Osaka
Wakayama
Osaka
Ibaraki
Mie
Osaka
Osaka
Miyagi
Osaka
Wakayama
Chiba
Hyogo
Aichi
Mie
Saitama
Shizuoka
Saitama
Osaka
Osaka
Gumma
Ibaraki
Hyogo
City/Ward/Town/Village
Hino-Cho Gamo-Gun
Komaki-Shi
Inazawa-Shi
Neyagawa-Shi
Yachiyo-Shi
Utsunomiya-Shi
Noda-Shi
Fukui-Shi
Ayase-Shi
Ichihara-Shi
Yonezawa-Shi
Fukuchiyama-Shi
Hiratsuka-Shi
Hida-Shi
Toyama-Shi
Nishiyodogawa-Ku Osaka-Shi
Aikawa-Machi Aiko-Gun
Muroran-Shi
Edogawa-Ku
Tobata-Ku Kitakyushu-Shi
Kokurakita-Ku Kitakyushu-Shi
Chikusei-Shi
Soka-Shi
Kakegawa-Shi
Kariya-Shi
Koriyama-Shi
Minato-Ku Nagoya-Shi
Hirokawa-Machi Yame-Gun
Itami-Shi
Oita-Shi
Hirakata-Shi
Arida-Shi
Joto-Ku Osaka-Shi
Ryugasaki-Shi
Iga-Shi
Toyonaka-Shi
Konohana-Ku Osaka-Shi
Ishinomaki-Shi
Kishiwada-Shi
Wakayama-Shi
Togane-Shi
Ako-Shi
Taketoyo-Cho Chita-Gun
Yokkaichi-Shi
Shobu-cho
Shizuoka
Asaka-Shi
Yao-Shi
Sakai
Fujioka-Shi
Kamisu-Shi
Himeji-Shi
48
Location
effect
0.020
0.017
0.016
0.016
0.015
0.012
0.012
0.011
0.009
0.000
-0.001
-0.006
-0.006
-0.007
-0.007
-0.008
-0.009
-0.010
-0.010
-0.013
-0.013
-0.014
-0.015
-0.017
-0.017
-0.021
-0.024
-0.024
-0.027
-0.028
-0.029
-0.030
-0.032
-0.033
-0.033
-0.034
-0.034
-0.036
-0.039
-0.039
-0.039
-0.042
-0.048
-0.049
-0.054
-0.056
-0.059
-0.061
-0.062
-0.063
-0.063
-0.064
Industry Ranking
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
State
Tokyo
Fukuoka
Fukui
Aichi
Tokyo
Ibaraki
Aichi
Aichi
Osaka
Saitama
Shiga
Aichi
Shizuoka
Gumma
Tokushima
Ehime
Osaka
Hyogo
Hyogo
Okayama
Tokyo
Gumma
Hyogo
Chiba
Okayama
Kanagawa
Tokyo
Hiroshima
Fukushima
Ibaraki
Kagawa
Fukuoka
Ibaraki
Ishikawa
Tokushima
Hyogo
Wakayama
Hiroshima
Saitama
Fukushima
Okayama
Kanagawa
Fukushima
Hiroshima
Chiba
Hyogo
Hokkaido
Yamaguchi
Kyoto
Aomori
Hokkaido
Fukui
City/Ward/Town/Village
Ome-Shi
Omuta-Shi
Tsuruga-Shi
Minami-Ku Nagoya-Shi
Adachi-Ku
Kitaibaraki-Shi
Chiryu-Shi
Kasugai-Shi
Higashiosaka-Shi
Kawaguchi-Shi
Konan-Shi
Toyokawa-Shi
Kikugawa-Shi
Isesaki-Shi
Tokushima-Shi
Matsuyama-Shi
Kashiwara-Shi
Harima-Cho Kako-Gun
Tarumi-Ku Kobe-Shi
Tamano-Shi
Koto-Ku
Annaka-Shi
Amagasaki-Shi
Sodegaura-Shi
Kurashiki-Shi
Samukawa-Machi Koza-Gun
Itabashi-Ku
Fukuyama-Shi
Soma-Shi
Koga-Shi
Sakaide-Shi
Wakamatsu-Ku Kitakyushu-Shi
Joso-Shi
Hakusan-Shi
Anan-Shi
Kakogawa-Shi
Kainan-Shi
Mihara-Shi
Tokorozawa-Shi
Hirono-Machi Futaba-Gun
Wake-Cho Wake-Gun
Tsurumi-Ku Yokohama-Shi
Sukagawa-Shi
Higashihiroshima-Shi
Ichikawa-Shi
Kato-Shi
Tomakomai-Shi
Sanyoonoda-Shi
Fushimi-Ku Kyoto-Shi
Hachinohe-Shi
Kitahiroshima-Shi
Sakai-Shi
49
Location
effect
-0.065
-0.068
-0.070
-0.071
-0.074
-0.081
-0.081
-0.086
-0.087
-0.091
-0.091
-0.094
-0.096
-0.099
-0.100
-0.103
-0.104
-0.104
-0.105
-0.108
-0.115
-0.116
-0.117
-0.117
-0.117
-0.118
-0.126
-0.130
-0.133
-0.133
-0.133
-0.137
-0.138
-0.139
-0.141
-0.143
-0.147
-0.147
-0.150
-0.151
-0.151
-0.151
-0.152
-0.154
-0.157
-0.161
-0.166
-0.168
-0.170
-0.177
-0.180
-0.193
Industry Ranking
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
State
Aichi
Shizuoka
Saga
Tokushima
Okayama
Hyogo
Miyazaki
Osaka
Aichi
Hiroshima
Niigata
Okayama
Osaka
Osaka
Yamaguchi
Chiba
Gifu
Kanagawa
Ibaraki
Mie
Osaka
Gifu
Toyama
Kagawa
Kanagawa
Shiga
Mie
Chiba
Fukushima
Tokyo
Tokyo
Ehime
Fukushima
Osaka
Kyoto
Saitama
Osaka
Kumamoto
Kumamoto
Shizuoka
Kyoto
Kanagawa
Aichi
Kanagawa
Chiba
Saitama
Osaka
Osaka
Aichi
Osaka
Nara
Saitama
City/Ward/Town/Village
Handa-Shi
Hamamatsu
Tosu-Shi
Naruto-Shi
Bizen-Shi
Takasago-Shi
Hyuga-Shi
Settsu-Shi
Tokai-Shi
Otake-Shi
Tainai-Shi
Kasaoka-Shi
Taisho-Ku Osaka-Shi
Suita-Shi
Hofu-Shi
Mobara-Shi
Nakatsugawa-Shi
Fujisawa-Shi
Goka-Machi Sashima-Gun
Matsusaka-Shi
Yodogawa-Ku Osaka-Shi
Ogaki-Shi
Imizu-Shi
Takamatsu-Shi
Isehara-Shi
Higashiomi-Shi
Suzuka-Shi
Narita-Shi
Tamura-Shi
Setagaya-Ku
Hamura-Shi
Niihama-Shi
Aizuwakamatsu-Shi
Hirano-Ku Osaka-Shi
Minami-Ku Kyoto-Shi
Kazo-Shi
Asahi-Ku Osaka-Shi
Minamata-Shi
Uto-Shi
Numazu-Shi
Uji-Shi
Zama-Shi
Kitanagoya-Shi
Hadano-Shi
Sammu-Shi
Fukaya-Shi
Ikuno-Ku Osaka-Shi
Higashiyodogawa-Ku Osaka-Shi
Toyohashi-Shi
Higashinari-Ku Osaka-Shi
Gose-Shi
Konosu-Shi
50
Location
effect
-0.194
-0.195
-0.203
-0.211
-0.212
-0.215
-0.219
-0.222
-0.229
-0.230
-0.235
-0.238
-0.240
-0.240
-0.261
-0.265
-0.268
-0.272
-0.274
-0.277
-0.285
-0.286
-0.295
-0.296
-0.303
-0.308
-0.311
-0.312
-0.320
-0.322
-0.323
-0.323
-0.324
-0.327
-0.336
-0.341
-0.354
-0.367
-0.372
-0.376
-0.383
-0.424
-0.444
-0.445
-0.491
-0.493
-0.495
-0.510
-0.516
-0.523
-0.569
-0.594
Industry Ranking
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
259
260
261
262
263
264
265
266
267
268
269
270
271
272
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
State
Gumma
Aichi
Hyogo
Saitama
Kanagawa
Saitama
Osaka
Shizuoka
Fukui
Kanagawa
Hyogo
Saitama
Iwate
Kyoto
Miyazaki
Miyagi
Shizuoka
Fukushima
Fukushima
Ibaraki
Saitama
Shizuoka
Aichi
Shizuoka
Tokyo
Tochigi
Tokyo
Fukui
Ibaraki
Yamagata
Fukui
Osaka
Saitama
Ishikawa
Yamagata
Saitama
Hyogo
Nagano
Fukui
Saga
Ibaraki
Okayama
Saitama
Miyazaki
Kanagawa
Miyagi
Ishikawa
Chiba
Shimane
Chiba
Iwate
Hiroshima
City/Ward/Town/Village
Tatebayashi-Shi
Seto-Shi
Nishinomiya-Shi
Gyoda-Shi
Yokosuka-Shi
Sayama-Shi
Nishinari-Ku Osaka-Shi
Fujieda-Shi
Sabae-Shi
Takatsu-Ku Kawasaki-Shi
Tamba-Shi
Kamikawa-Machi Kodama-Gun
Kitakami-Shi
Muko-Shi
Nobeoka-Shi
Kakuda-Shi
Yoshida-Cho Haibara-Gun
Nishigo-Mura Nishishirakawa-Gun
Motomiya-Shi
Sakuragawa-Shi
Sakado-Shi
Makinohara-Shi
Tsushima-Shi
Fukuroi-Shi
Adachi-Ku
Nasukarasuyama-Shi
Higashimurayama-Shi
Fukui-Shi
Yuki-Shi
Tendo-Shi
Sabae-Shi
Izumiotsu-Shi
Niiza-Shi
Nonoichi-Machi Ishikawa-Gun
Yamagata-Shi
Kasukabe-Shi
Hyogo-Ku Kobe-Shi
Matsukawa-Machi Shimoina-Gun
Awara-Shi
Kamimine-Cho Miyaki-Gun
Koga-Shi
Akaiwa-Shi
Satte-Shi
Saito-Shi
Kanazawa-Ku Yokohama-Shi
Osaki-Shi
Tsubata-Machi Kahoku-Gun
Mobara-Shi
Matsue-Shi
Ichihara-Shi
Oshu-Shi
Kitahiroshima-Cho Yamagata-Gun
51
Location
effect
-0.597
-0.605
-0.620
-0.648
-0.677
-0.679
-0.682
-0.695
-0.729
-0.739
-0.773
-0.816
-1.135
-1.266
1.071
0.865
0.741
0.712
0.701
0.669
0.661
0.615
0.596
0.571
0.556
0.507
0.498
0.486
0.471
0.462
0.462
0.459
0.457
0.443
0.435
0.433
0.433
0.426
0.419
0.419
0.410
0.410
0.406
0.391
0.379
0.370
0.355
0.354
0.347
0.345
0.343
0.340
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
State
Hokkaido
Mie
Gifu
Tochigi
Ibaraki
Shiga
Tokyo
Tokyo
Fukuoka
Kyoto
Saitama
Aichi
Shiga
Hyogo
Iwate
Hiroshima
Saga
Fukuoka
Chiba
Hyogo
Yamanashi
Niigata
Saitama
Kyoto
Aichi
Saitama
Chiba
Tokyo
Gifu
Fukushima
Fukuoka
Tokyo
Oita
Chiba
Shiga
Aichi
Saitama
Miyagi
Yamagata
Gumma
Kyoto
Ishikawa
Saitama
Kyoto
Nagano
Kanagawa
Niigata
Hyogo
Saitama
Aichi
Aichi
Aichi
City/Ward/Town/Village
Otaru-Shi
Komono-Cho Mie-Gun
Nakatsugawa-Shi
Nikko-Shi
Kashima-Shi
Higashiomi-Shi
Higashiyamato-Shi
Koto-Ku
Nakama-Shi
Shimogyo-Ku Kyoto-Shi
Fukaya-Shi
Okazaki-Shi
Hupei-cho
Takasago-Shi
Hanamaki-Shi
Hatsukaichi-Shi
Tosu-Shi
Kurume-Shi
Tomisato-Shi
Sasayama-Shi
Tsuru-Shi
Ojiya-Shi
Warabi-Shi
Fukuchiyama-Shi
Yatomi-Shi
Gyoda-Shi
Narita-Shi
Akishima-Shi
Ena-Shi
Fukushima-Shi
Moji-Ku Kitakyushu-Shi
Musashimurayama-Shi
Nakatsu-Shi
Kimitsu-Shi
Takatsuki-cho
Nakagawa-Ku Nagoya-Shi
Shiraoka-Machi Minamisaitama-Gun
Murata-Machi Shibata-Gun
Kahoku-Cho Nishimurayama-Gun
Tatebayashi-Shi
Ujitawara-Cho Tsuzuki-Gun
Kanazawa-Shi
Asaka-Shi
Kyotango-Shi
Azumino-Shi
Ayase-Shi
Sanjo-Shi
Akashi-Shi
Misato-Shi
Kasugai-Shi
Toyohashi-Shi
Kota-Cho Nukata-Gun
52
Location
effect
0.339
0.334
0.328
0.325
0.324
0.316
0.313
0.311
0.310
0.305
0.298
0.291
0.288
0.285
0.279
0.279
0.277
0.273
0.273
0.273
0.271
0.268
0.268
0.266
0.265
0.264
0.263
0.260
0.255
0.255
0.251
0.247
0.244
0.243
0.243
0.240
0.238
0.238
0.238
0.238
0.236
0.235
0.235
0.232
0.231
0.229
0.227
0.227
0.223
0.218
0.217
0.216
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
State
Saitama
Saga
Hyogo
Nagano
Yamanashi
Saitama
Fukushima
Kyoto
Shizuoka
Kagawa
Hyogo
Mie
Gumma
Fukushima
Ishikawa
Shizuoka
Osaka
Aichi
Tokyo
Kanagawa
Fukuoka
Yamagata
Saitama
Tokyo
Saitama
Tochigi
Mie
Okayama
Hyogo
Chiba
Tottori
Hyogo
Yamaguchi
Shizuoka
Aichi
Kyoto
Saitama
Niigata
Osaka
Aichi
Kanagawa
Hyogo
Hiroshima
Shizuoka
Saitama
Aichi
Tokyo
Chiba
Nara
Tokyo
Kanagawa
Shiga
City/Ward/Town/Village
Tokigawa-Machi Hiki-Gun
Kiyama-Cho Miyaki-Gun
Ono-Shi
Iida-Shi
Kofu-Shi
Chichibu-Shi
Miharu-Machi Tamura-Gun
Uji-Shi
Yaizu-Shi
Higashikagawa-Shi
Higashinada-Ku Kobe-Shi
Tsu-Shi
Kiryu-Shi
Yabuki-Machi Nishishirakawa-Gun
Hakusan-Shi
Numazu-Shi
Higashinari-Ku Osaka-Shi
Tempaku-Ku Nagoya-Shi
Shinagawa-Ku
Yokosuka-Shi
Yahatanishi-Ku Kitakyushu-Shi
Nagai-Shi
Kawagoe-Shi
Ota-Ku
Ranzan-Machi Hiki-Gun
Moka-Shi
Nabari-Shi
Bizen-Shi
Sumoto-Shi
Kisarazu-Shi
Tottori-Shi
Tatsuno-Shi
Shunan-Shi
Kakegawa-Shi
Atsuta-Ku Nagoya-Shi
Joyo-Shi
Hanno-Shi
Nagaoka-Shi
Yao-Shi
Toyota-Shi
Saiwai-Ku Kawasaki-Shi
Kakogawa-Shi
Mihara-Shi
Fujinomiya-Shi
Yorii-Machi Osato-Gun
Handa-Shi
Fussa-Shi
Futtsu-Shi
Yamatokoriyama-Shi
Itabashi-Ku
Minami-Ku Yokohama-Shi
Moriyama-Shi
53
Location
effect
0.213
0.211
0.211
0.210
0.210
0.209
0.206
0.205
0.203
0.202
0.199
0.199
0.198
0.197
0.195
0.195
0.193
0.192
0.191
0.190
0.188
0.186
0.185
0.181
0.178
0.178
0.176
0.176
0.176
0.174
0.170
0.170
0.169
0.168
0.168
0.168
0.165
0.162
0.161
0.160
0.160
0.159
0.156
0.155
0.154
0.153
0.153
0.153
0.150
0.149
0.146
0.145
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
State
Niigata
Okayama
Saitama
Kanagawa
Tokyo
Aichi
Yamanashi
Shizuoka
Hiroshima
Gifu
Nara
Fukushima
Fukuoka
Kyoto
Nagano
Kumamoto
Yamagata
Shizuoka
Nagano
Fukuoka
Aichi
Saitama
Shiga
Gumma
Fukuoka
Osaka
Shizuoka
Hyogo
Osaka
Kanagawa
Osaka
Hiroshima
Akita
Tokyo
Mie
Chiba
Hyogo
Nagano
Saitama
Tokyo
Nagano
Nara
Aichi
Osaka
Osaka
Aichi
Yamagata
Fukushima
Nagano
Hiroshima
Fukuoka
Yamagata
City/Ward/Town/Village
Niigata
Satosho-Cho Asakuchi-Gun
Kazo-Shi
Chigasaki-Shi
Katsushika-Ku
Moriyama-Ku Nagoya-Shi
Kai-Shi
Gotemba-Shi
Kure-Shi
Gujo-Shi
Ikoma-Shi
Koriyama-Shi
Hirokawa-Machi Yame-Gun
Nakagyo-Ku Kyoto-Shi
Komoro-Shi
Nishihara-Mura Aso-Gun
Nanyo-Shi
Fujieda-Shi
Matsumoto-Shi
Tobata-Ku Kitakyushu-Shi
Komaki-Shi
Kawaguchi-Shi
Kusatsu-Shi
Ora-Machi Ora-Gun
Yanagawa-Shi
Nishiyodogawa-Ku Osaka-Shi
Shimizu-Cho Sunto-Gun
Harima-Cho Kako-Gun
Neyagawa-Shi
Atsugi-Shi
Toyonaka-Shi
Higashihiroshima-Shi
Kazuno-Shi
Nerima-Ku
Toin-Cho Inabe-Gun
Yachiyo-Shi
Takarazuka-Shi
Saku-Shi
Sayama-Shi
Mizuho-Machi Nishitama-Gun
Ueda-Shi
Tawaramoto-Cho Shiki-Gun
Shinshiro-Shi
Suita-Shi
Kawachinagano-Shi
Takahama-Shi
Higashine-Shi
Kitakata-Shi
Minowa-Machi Kamiina-Gun
Shobara-Shi
Kokuraminami-Ku Kitakyushu-Shi
Sagae-Shi
54
Location
effect
0.145
0.145
0.144
0.143
0.143
0.142
0.141
0.140
0.140
0.138
0.137
0.134
0.130
0.128
0.127
0.127
0.125
0.125
0.124
0.118
0.116
0.112
0.111
0.110
0.109
0.105
0.105
0.104
0.103
0.103
0.099
0.098
0.098
0.098
0.098
0.098
0.097
0.097
0.095
0.094
0.093
0.090
0.090
0.083
0.081
0.081
0.081
0.079
0.078
0.078
0.077
0.077
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
State
Osaka
Fukushima
Yamagata
Osaka
Saitama
Tochigi
Kagoshima
Ibaraki
Kanagawa
Nagano
Saitama
Ibaraki
Hyogo
Tochigi
Aichi
Mie
Gifu
Akita
Mie
Yamanashi
Iwate
Gifu
Niigata
Gifu
Shiga
Osaka
Hyogo
Hyogo
Hyogo
Yamagata
Miyazaki
Hiroshima
Ibaraki
Ehime
Toyama
Gumma
Saitama
Nagano
Aichi
Saitama
Ibaraki
Shiga
Hiroshima
Kanagawa
Miyagi
Fukuoka
Hyogo
Nagasaki
Saitama
Hyogo
Shizuoka
Osaka
City/Ward/Town/Village
Kishiwada-Shi
Nihommatsu-Shi
Murayama-Shi
Hirakata-Shi
Koshigaya-Shi
Ashikaga-Shi
Satsumasendai-Shi
Kitaibaraki-Shi
Kamakura-Shi
Minamiminowa-Mura Kamiina-Gun
Honjo-Shi
Ami-Machi Inashiki-Gun
Toyoka-Shi
Utsunomiya-Shi
Midori-Ku Nagoya-Shi
Tamaki-Cho Watarai-Gun
Ogaki-Shi
Odate-Shi
Iga-Shi
Showa-Cho Nakakoma-Gun
Kitakami-Shi
Mino-Shi
Minamiuonuma-Shi
Tarui-Cho Fuwa-Gun
Takashima-Shi
Izumi-Shi
Himeji-Shi
Sanda-Shi
Kato-Shi
Yonezawa-Shi
Miyazaki-Shi
Aki-Ku Hiroshima-Shi
Toride-Shi
Matsuyama-Shi
Nanto-Shi
Maebashi-Shi
Hanyu-Shi
Komagane-Shi
Hekinan-Shi
Iruma-Shi
Shimotsuma-Shi
Hikone-Shi
Fuchu-Shi
Totsuka-Ku Yokohama-Shi
Ohira-Mura Kurokawa-Gun
Yahatahigashi-Ku Kitakyushu-Shi
Nishinomiya-Shi
Sasebo-Shi
Hidaka-Shi
Nagata-Ku Kobe-Shi
Iwata-Shi
Kaizuka-Shi
55
Location
effect
0.076
0.075
0.075
0.074
0.073
0.071
0.071
0.070
0.069
0.069
0.069
0.069
0.068
0.066
0.063
0.063
0.062
0.061
0.061
0.061
0.061
0.060
0.060
0.059
0.058
0.055
0.054
0.052
0.052
0.052
0.051
0.049
0.048
0.048
0.048
0.043
0.043
0.042
0.039
0.039
0.038
0.037
0.036
0.036
0.036
0.034
0.034
0.034
0.034
0.032
0.031
0.031
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
State
Wakayama
Shiga
Kanagawa
Mie
Hyogo
Shizuoka
Ishikawa
Shimane
Kanagawa
Aichi
Osaka
Saitama
Aichi
Wakayama
Ibaraki
Kyoto
Aichi
Wakayama
Kumamoto
Yamanashi
Tochigi
Tokyo
Shizuoka
Okayama
Osaka
Tokyo
Kanagawa
Kyoto
Kyoto
Osaka
Aichi
Ehime
Tochigi
Chiba
Gumma
Ibaraki
Kyoto
Tochigi
Tokyo
Shiga
Osaka
Aichi
Gifu
Kyoto
Shiga
Tokyo
Akita
Oita
Aichi
Hiroshima
Osaka
Saitama
City/Ward/Town/Village
Hidakagawa-Cho Hidaka-Gun
Maibara-Shi
Kohoku-Ku Yokohama-Shi
Kuwana-Shi
Kasai-Shi
Shizuoka
Komatsu-Shi
Unnan-Shi
Minamiashigara-Shi
Toyokawa-Shi
Ibaraki-Shi
Ageo-Shi
Anjo-Shi
Kinokawa-Shi
Bando-Shi
Muko-Shi
Ichinomiya-Shi
Wakayama-Shi
Nankan-Machi Tamana-Gun
Hokuto-Shi
Nasushiobara-Shi
Sumida-Ku
Fuji-Shi
Shoo-Cho Katsuta-Gun
Minato-Ku Osaka-Shi
Kita-Ku
Nakahara-Ku Kawasaki-Shi
Nagaokakyo-Shi
Ayabe-Shi
Tondabayashi-Shi
Mizuho-Ku Nagoya-Shi
Imabari-Shi
Sano-Shi
Matsudo-Shi
Oizumi-Machi Ora-Gun
Tsukubamirai-Shi
Kameoka-Shi
Kanuma-Shi
Hachioji-Shi
Yasu-Shi
Sakai
Kitanagoya-Shi
Godo-Cho Ampachi-Gun
Minami-Ku Kyoto-Shi
Ryuo-Cho Gamo-Gun
Edogawa-Ku
Daisen-Shi
Oita-Shi
Kariya-Shi
Onomichi-Shi
Daito-Shi
Kitamoto-Shi
56
Location
effect
0.030
0.030
0.029
0.028
0.028
0.027
0.026
0.026
0.022
0.019
0.018
0.018
0.018
0.018
0.017
0.017
0.016
0.016
0.015
0.014
0.013
0.012
0.012
0.011
0.010
0.010
0.010
0.009
0.009
0.008
0.008
0.008
0.006
0.004
0.004
0.003
0.002
0.002
0.001
0.000
0.000
0.000
0.000
-0.001
-0.001
-0.001
-0.002
-0.003
-0.003
-0.004
-0.008
-0.009
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
State
Saitama
Mie
Fukuoka
Chiba
Ibaraki
Fukushima
Hyogo
Hyogo
Yamaguchi
Kanagawa
Kanagawa
Shizuoka
Saitama
Kagoshima
Saitama
Ehime
Shizuoka
Okayama
Hyogo
Yamaguchi
Shiga
Shizuoka
Chiba
Osaka
Ibaraki
Yamanashi
Kanagawa
Hiroshima
Shimane
Shiga
Aichi
Osaka
Fukuoka
Nagano
Ibaraki
Fukushima
Okayama
Fukuoka
Tokyo
Fukuoka
Fukuoka
Tokyo
Aichi
Osaka
Nagasaki
Yamanashi
Kanagawa
Ibaraki
Chiba
Ibaraki
Osaka
Saitama
City/Ward/Town/Village
Yashio-Shi
Ise-Shi
Shime-Machi Kasuya-Gun
Kashiwa-Shi
Chikusei-Shi
Iwaki-Shi
Itami-Shi
Amagasaki-Shi
Kudamatsu-Shi
Tama-Ku Kawasaki-Shi
Tsurumi-Ku Yokohama-Shi
Izunokuni-Shi
Kumagaya-Shi
Kirishima-Shi
Konosu-Shi
Toon-Shi
Omaezaki-Shi
Nagi-Cho Katsuta-Gun
Tarumi-Ku Kobe-Shi
Sanyoonoda-Shi
Ritto-Shi
Hamamatsu
Sammu-Shi
Tsurumi-Ku Osaka-Shi
Mito-Shi
Minamiarupusu-Shi
Kawasaki-Ku Kawasaki-Shi
Fukuyama-Shi
Higashiizumo-Cho Yatsuka-Gun
Otsu-Shi
Minami-Ku Nagoya-Shi
Suminoe-Ku Osaka-Shi
Hakata-Ku Fukuoka-Shi
Suwa-Shi
Joso-Shi
Minamisoma-Shi
Tsuyama-Shi
Iizuka-Shi
Hino-Shi
Koga-Shi
Yukuhashi-Shi
Toshima-Ku
Obu-Shi
Fukushima-Ku Osaka-Shi
Nagasaki-Shi
Fuefuki-Shi
Sagamihara
Hitachi-Shi
Sakura-Shi
Kasama-Shi
Hirano-Ku Osaka-Shi
Shobu-cho
57
Location
effect
-0.009
-0.009
-0.010
-0.012
-0.013
-0.014
-0.014
-0.014
-0.014
-0.014
-0.015
-0.016
-0.016
-0.016
-0.017
-0.020
-0.020
-0.020
-0.022
-0.022
-0.023
-0.023
-0.025
-0.026
-0.026
-0.027
-0.030
-0.030
-0.031
-0.032
-0.032
-0.032
-0.033
-0.035
-0.035
-0.036
-0.036
-0.038
-0.040
-0.041
-0.042
-0.042
-0.043
-0.045
-0.045
-0.048
-0.049
-0.050
-0.052
-0.052
-0.053
-0.053
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
State
Ibaraki
Osaka
Akita
Shizuoka
Osaka
Hokkaido
Osaka
Saitama
Osaka
Nagano
Niigata
Fukui
Kanagawa
Ibaraki
Kanagawa
Mie
Saitama
Osaka
Okayama
Kanagawa
Tokyo
Tokushima
Kanagawa
Tokyo
Yamanashi
Gumma
Chiba
Shiga
Kumamoto
Saitama
Aichi
Gifu
Chiba
Shizuoka
Toyama
Nagano
Akita
Chiba
Yamagata
Gumma
Tokushima
Kanagawa
Miyagi
Fukushima
Nagano
Shiga
Chiba
Toyama
Osaka
Ishikawa
Nagano
Chiba
City/Ward/Town/Village
Ryugasaki-Shi
Kadoma-Shi
Akita-Shi
Nagaizumi-Cho Sunto-Gun
Higashiyodogawa-Ku Osaka-Shi
Chitose-Shi
Shijonawate-Shi
Ina-Machi Kitaadachi-Gun
Settsu-Shi
Suzaka-Shi
Uonuma-Shi
Sakai-Shi
Zama-Shi
Hitachinaka-Shi
Hiratsuka-Shi
Yokkaichi-Shi
Soka-Shi
Yodogawa-Ku Osaka-Shi
Kurashiki-Shi
Ebina-Shi
Mitaka-Shi
Aizumi-Cho Itano-Gun
Fujisawa-Shi
Machida-Shi
Nirasaki-Shi
Ota-Shi
Funabashi-Shi
Koka-Shi
Kikuchi-Shi
Saitama
Owariasahi-Shi
Seki-Shi
Noda-Shi
Shimada-Shi
Uozu-Shi
Chikuma-Shi
Yokote-Shi
Togane-Shi
Tsuruoka-Shi
Isesaki-Shi
Komatsushima-Shi
Hadano-Shi
Ishinomaki-Shi
Shirakawa-Shi
Shiojiri-Shi
Hino-Cho Gamo-Gun
Chiba
Takaoka-Shi
Higashiosaka-Shi
Nomi-Shi
Chino-Shi
Urayasu-Shi
58
Location
effect
-0.054
-0.055
-0.055
-0.057
-0.058
-0.060
-0.061
-0.062
-0.063
-0.066
-0.066
-0.067
-0.067
-0.068
-0.068
-0.070
-0.071
-0.071
-0.072
-0.074
-0.074
-0.074
-0.074
-0.076
-0.078
-0.079
-0.079
-0.082
-0.083
-0.088
-0.088
-0.091
-0.091
-0.093
-0.095
-0.097
-0.098
-0.098
-0.099
-0.099
-0.100
-0.100
-0.103
-0.110
-0.111
-0.111
-0.115
-0.118
-0.118
-0.119
-0.120
-0.121
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
State
Nagano
Kanagawa
Aichi
Aichi
Ishikawa
Shiga
Ibaraki
Osaka
Ehime
Chiba
Niigata
Hyogo
Tochigi
Aichi
Nagano
Gumma
Aichi
Ehime
Gifu
Osaka
Oita
Yamanashi
Nagano
Saitama
Nara
Fukuoka
Gumma
Nagano
Toyama
Hyogo
Shizuoka
Chiba
Kyoto
Fukuoka
Tochigi
Tokyo
Fukushima
Aichi
Miyagi
Chiba
Fukushima
Iwate
Yamanashi
Aichi
Kanagawa
Osaka
Tokyo
Osaka
Kyoto
Shiga
Hyogo
Kanagawa
City/Ward/Town/Village
Miyada-Mura Kamiina-Gun
Takatsu-Ku Kawasaki-Shi
Minato-Ku Nagoya-Shi
Miyoshi-cho
Kaga-Shi
Nagahama-Shi
Tsukuba-Shi
Joto-Ku Osaka-Shi
Saijo-Shi
Ichikawa-Shi
Shibata-Shi
Asago-Shi
Tochigi-Shi
Nishi-Ku Nagoya-Shi
Shimosuwa-Machi Suwa-Gun
Takasaki-Shi
Iwakura-Shi
Niihama-Shi
Takayama-Shi
Nishinari-Ku Osaka-Shi
Kitsuki-Shi
Narusawa-Mura Minamitsuru-Gun
Okaya-Shi
Tokorozawa-Shi
Nara-Shi
Wakamatsu-Ku Kitakyushu-Shi
Yoshii-cho
Tomi-Shi
Namerikawa-Shi
Inami-Cho Kako-Gun
Mishima-Shi
Shibayama-Machi Sambu-Gun
Ukyo-Ku Kyoto-Shi
Chikugo-Shi
Oyama-Shi
Tachikawa-Shi
Kagamiishi-Machi Iwase-Gun
Tokoname-Shi
Zao-Machi Katta-Gun
Chonan-Machi Chosei-Gun
Sukagawa-Shi
Tono-Shi
Otsuki-Shi
Toyoake-Shi
Odawara-Shi
Ikuno-Ku Osaka-Shi
Hinode-Machi Nishitama-Gun
Takatsuki-Shi
Fushimi-Ku Kyoto-Shi
Konan-Shi
Kawanishi-Shi
Isehara-Shi
59
Location
effect
-0.125
-0.125
-0.125
-0.126
-0.127
-0.131
-0.132
-0.133
-0.133
-0.136
-0.137
-0.138
-0.141
-0.142
-0.142
-0.144
-0.145
-0.146
-0.147
-0.147
-0.149
-0.150
-0.151
-0.153
-0.153
-0.153
-0.154
-0.156
-0.156
-0.157
-0.160
-0.162
-0.163
-0.163
-0.164
-0.168
-0.168
-0.168
-0.168
-0.169
-0.170
-0.171
-0.171
-0.174
-0.176
-0.176
-0.179
-0.184
-0.185
-0.185
-0.186
-0.190
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
State
Toyama
Nara
Fukuoka
Saga
Hokkaido
Gifu
Osaka
Ibaraki
Kyoto
Kyoto
Aichi
Ehime
Niigata
Saitama
Chiba
Tokyo
Ibaraki
Tokyo
Nagano
Fukuoka
Yamaguchi
Osaka
Hokkaido
Aichi
Mie
Niigata
Nagano
Aichi
Gifu
Kanagawa
Tochigi
Tokyo
Kumamoto
Akita
Aichi
Aichi
Gifu
Gifu
Hiroshima
Okayama
Kochi
Gifu
Nagano
Saitama
Aichi
Yamagata
Toyama
Okayama
Aichi
Fukushima
Miyagi
Hokkaido
City/Ward/Town/Village
Toyama-Shi
Tenri-Shi
Shingu-Machi Kasuya-Gun
Karatsu-Shi
Hakodate-Shi
Kani-Shi
Osakasayama-Shi
Tsuchiura-Shi
Kizugawa-Shi
Kumiyama-Cho Kuse-Gun
Kita-Ku Nagoya-Shi
Shikokuchuo-Shi
Kashiwazaki-Shi
Miyoshi-Machi Iruma-Gun
Sodegaura-Shi
Hamura-Shi
Ibaraki-Machi Higashiibaraki-Gun
Ome-Shi
Ina-Shi
Omuta-Shi
Iwakuni-Shi
Ikeda-Shi
Nishi-Ku Sapporo-Shi
Konan-Shi
Suzuka-Shi
Tsubame-Shi
Nagano-Shi
Kiyosu-Shi
Yamagata-Shi
Yamato-Shi
Mibu-Machi Shimotsuga-Gun
Fuchu-Shi
Kumamoto-Shi
Yurihonjo-Shi
Nakamura-Ku Nagoya-Shi
Chiryu-Shi
Hashima-Shi
Kakamigahara-Shi
Asaminami-Ku Hiroshima-Shi
Takahashi-Shi
Nankoku-Shi
Gifu-Shi
Sakaki-Machi Hanishina-Gun
Kuki-Shi
Nisshin-Shi
Sakata-Shi
Oyabe-Shi
Okayama
Oguchi-Cho Niwa-Gun
Aizuwakamatsu-Shi
Natori-Shi
Tomakomai-Shi
60
Location
effect
-0.190
-0.194
-0.196
-0.199
-0.200
-0.200
-0.201
-0.202
-0.204
-0.205
-0.205
-0.213
-0.216
-0.217
-0.220
-0.220
-0.223
-0.224
-0.227
-0.227
-0.228
-0.229
-0.230
-0.230
-0.231
-0.234
-0.236
-0.236
-0.238
-0.239
-0.241
-0.241
-0.243
-0.243
-0.244
-0.247
-0.247
-0.247
-0.251
-0.253
-0.255
-0.255
-0.264
-0.267
-0.269
-0.273
-0.274
-0.275
-0.275
-0.280
-0.283
-0.284
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
State
Nagano
Iwate
Osaka
Fukuoka
Hyogo
Kanagawa
Nagano
Aomori
Mie
Kochi
Gifu
Gifu
Yamanashi
Tokyo
Akita
Kanagawa
Osaka
Aichi
Shimane
Miyagi
Akita
Fukushima
Okayama
Aichi
Nara
Chiba
Hyogo
Fukuoka
Ishikawa
Hokkaido
Toyama
Yamagata
Miyagi
Saitama
Yamaguchi
Kumamoto
Gumma
Shizuoka
Saga
Fukushima
Saitama
Kanagawa
Kagawa
Osaka
Osaka
Aichi
Saitama
Ibaraki
Yamagata
Kyoto
Tokushima
Kagawa
City/Ward/Town/Village
Nakano-Shi
Ichinoseki-Shi
Moriguchi-Shi
Nogata-Shi
Miki-Shi
Midori-Ku Yokohama-Shi
Takamori-Machi Shimoina-Gun
Hachinohe-Shi
Matsusaka-Shi
Kochi-Shi
Hida-Shi
Minokamo-Shi
Yamanashi-Shi
Arakawa-Ku
Nikaho-Shi
Aikawa-Machi Aiko-Gun
Taisho-Ku Osaka-Shi
Gamagori-Shi
Yasugi-Shi
Kurihara-Shi
Yuzawa-Shi
Izumizaki-Mura Nishishirakawa-Gun
Soja-Shi
Inuyama-Shi
Sakurai-Shi
Yachimata-Shi
Awaji-Shi
Umi-Machi Kasuya-Gun
Shika-Machi Hakui-Gun
Ishikari-Shi
Imizu-Shi
Kaminoyama-Shi
Sendai
Kamisato-Machi Kodama-Gun
Shimonoseki-Shi
Yatsushiro-Shi
Tomioka-Shi
Kikugawa-Shi
Saga-Shi
Tamura-Shi
Yoshimi-Machi Hiki-Gun
Isogo-Ku Yokohama-Shi
Mitoyo-Shi
Kashiwara-Shi
Habikino-Shi
Inazawa-Shi
Otone-cho
Ishioka-Shi
Shinjo-Shi
Yawata-Shi
Yoshinogawa-Shi
Tadotsu-Cho Nakatado-Gun
61
Location
effect
-0.286
-0.287
-0.288
-0.288
-0.289
-0.290
-0.291
-0.291
-0.293
-0.297
-0.300
-0.301
-0.304
-0.311
-0.316
-0.318
-0.322
-0.323
-0.325
-0.328
-0.333
-0.334
-0.340
-0.346
-0.348
-0.354
-0.354
-0.356
-0.356
-0.360
-0.361
-0.362
-0.362
-0.364
-0.366
-0.369
-0.372
-0.374
-0.384
-0.390
-0.390
-0.394
-0.406
-0.416
-0.422
-0.423
-0.432
-0.433
-0.440
-0.449
-0.456
-0.465
Industry Ranking
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
State
Nagasaki
Kagawa
Fukushima
Aomori
Tochigi
Osaka
Chiba
Oita
Saitama
Oita
Tokyo
Yamaguchi
Kanagawa
Hokkaido
Tokyo
Aichi
Ibaraki
Gumma
Kagawa
Ibaraki
Tochigi
Nagano
Okayama
Niigata
Saitama
Aichi
Oita
Nagano
Yamagata
Aichi
Kyoto
Chiba
Tokyo
Oita
Oita
Nagano
Kochi
Tokyo
Gumma
Saitama
Nagano
Okayama
Yamagata
Kagoshima
Hiroshima
Tokyo
Gumma
Gifu
Hyogo
Gumma
Aichi
Fukuoka
City/Ward/Town/Village
Togitsu-Cho Nishisonogi-Gun
Takamatsu-Shi
Shimogo-Machi Minamiaizu-Gun
Hirosaki-Shi
Otawara-Shi
Matsubara-Shi
Narashino-Shi
Kunisaki-Shi
Okegawa-Shi
Saiki-Shi
Meguro-Ku
Ube-Shi
Samukawa-Machi Koza-Gun
Muroran-Shi
Nishitokyo-Shi
Togo-Cho Aichi-Gun
Hitachiomiya-Shi
Chiyoda-Machi Ora-Gun
Marugame-Shi
Kasumigaura-Shi
Nogi-Machi Shimotsuga-Gun
Tatsuno-Machi Kamiina-Gun
Ibara-Shi
Joetsu-Shi
Toda-Shi
Seto-Shi
Bungoono-Shi
Miyota-Machi Kitasaku-Gun
Mikawa-Machi Higashitagawa-Gun
Chita-Shi
Maizuru-Shi
Nagareyama-Shi
Shibuya-Ku
Yufu-Shi
Kitsuki-Shi
Minamiminowa-Mura Kamiina-Gun
Konan-Shi
Higashiyamato-Shi
Shibukawa-Shi
Tsurugashima-Shi
Ina-Shi
Mimasaka-Shi
Higashine-Shi
Satsuma-Cho Satsuma-Gun
Shobara-Shi
Arakawa-Ku
Ora-Machi Ora-Gun
Takayama-Shi
Shiso-Shi
Annaka-Shi
Obu-Shi
Hirokawa-Machi Yame-Gun
62
Location
effect
-0.465
-0.465
-0.469
-0.472
-0.473
-0.474
-0.482
-0.482
-0.492
-0.497
-0.504
-0.523
-0.543
-0.545
-0.549
-0.555
-0.572
-0.578
-0.579
-0.611
-0.620
-0.621
-0.623
-0.635
-0.637
-0.694
-0.734
-0.766
-0.795
-0.879
-0.894
-0.949
1.134
0.779
0.743
0.654
0.594
0.564
0.537
0.531
0.510
0.505
0.444
0.408
0.400
0.382
0.376
0.368
0.366
0.362
0.357
0.345
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
State
Tokyo
Hyogo
Shizuoka
Niigata
Toyama
Tokyo
Osaka
Kagoshima
Yamanashi
Okayama
Iwate
Kagawa
Toyama
Yamaguchi
Hyogo
Oita
Saitama
Fukushima
Iwate
Tochigi
Okayama
Aichi
Aomori
Aomori
Yamagata
Ibaraki
Shizuoka
Osaka
Saitama
Tokyo
Fukuoka
Miyagi
Saitama
Yamagata
Shizuoka
Aomori
Nagano
Niigata
Saitama
Hiroshima
Saitama
Chiba
Aichi
Nagano
Niigata
Aichi
Oita
Shizuoka
Tottori
Osaka
Chiba
Nagano
City/Ward/Town/Village
Adachi-Ku
Sayo-Cho Sayo-Gun
Kikugawa-Shi
Myoko-Shi
Tonami-Shi
Katsushika-Ku
Sakai
Isa-Shi
Yamanashi-Shi
Kurashiki-Shi
Shiwa-Cho Shiwa-Gun
Mitoyo-Shi
Kamiichi-Machi Nakaniikawa-Gun
Mine-Shi
Akashi-Shi
Kunisaki-Shi
Otone-cho
Minamiaizu-Machi Minamiaizu-Gun
Ichinohe-Machi Ninohe-Gun
Ohira-cho
Ibara-Shi
Toyoake-Shi
Hirakawa-Shi
Hirosaki-Shi
Takahata-Machi Higashiokitama-Gun
Bando-Shi
Iwata-Shi
Settsu-Shi
Satte-Shi
Kita-Ku
Kokurakita-Ku Kitakyushu-Shi
Taiwa-Cho Kurokawa-Gun
Kawaguchi-Shi
Yamagata-Shi
Izunokuni-Shi
Goshogawara-Shi
Iida-Shi
Tainai-Shi
Miyoshi-Machi Iruma-Gun
Miyoshi-Shi
Kawagoe-Shi
Sosa-Shi
Toyohashi-Shi
Matsukawa-Machi Shimoina-Gun
Ojiya-Shi
Mizuho-Ku Nagoya-Shi
Hiji-Machi Hayami-Gun
Makinohara-Shi
Chizu-Cho Yazu-Gun
Hirakata-Shi
Matsudo-Shi
Nakano-Shi
63
Location
effect
0.344
0.340
0.333
0.320
0.315
0.311
0.308
0.305
0.299
0.298
0.288
0.287
0.287
0.284
0.280
0.276
0.269
0.250
0.240
0.239
0.228
0.227
0.226
0.226
0.222
0.220
0.207
0.205
0.202
0.195
0.195
0.193
0.192
0.191
0.190
0.190
0.185
0.184
0.183
0.179
0.179
0.177
0.173
0.166
0.166
0.165
0.164
0.162
0.157
0.157
0.151
0.150
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
State
Oita
Ehime
Kumamoto
Hiroshima
Nagano
Kumamoto
Nagano
Toyama
Niigata
Nagano
Ehime
Aomori
Nagano
Ibaraki
Okayama
Aichi
Yamanashi
Shizuoka
Kochi
Kumamoto
Oita
Tokyo
Aichi
Shiga
Gifu
Aichi
Nagano
Hyogo
Aichi
Tokyo
Tokyo
Osaka
Akita
Tochigi
Gumma
Saitama
Fukushima
Aichi
Mie
Chiba
Kanagawa
Hiroshima
Kanagawa
Mie
Okayama
Saga
Hiroshima
Niigata
Aichi
Shizuoka
Gifu
Aichi
City/Ward/Town/Village
Oita-Shi
Imabari-Shi
Kumamoto-Shi
Fukuyama-Shi
Anan-Cho Shimoina-Gun
Yatsushiro-Shi
Shimosuwa-Machi Suwa-Gun
Nanto-Shi
Agano-Shi
Tatsuno-Machi Kamiina-Gun
Saijo-Shi
Hachinohe-Shi
Suzaka-Shi
Namegata-Shi
Maniwa-Shi
Inazawa-Shi
Hokuto-Shi
Shizuoka
Kochi-Shi
Kikuchi-Shi
Hita-Shi
Mitaka-Shi
Okazaki-Shi
Ritto-Shi
Yaotsu-Cho Kamo-Gun
Kota-Cho Nukata-Gun
Toyoka-Mura Shimoina-Gun
Himeji-Shi
Jimokuji-cho
Setagaya-Ku
Kodaira-Shi
Nishiyodogawa-Ku Osaka-Shi
Noshiro-Shi
Otawara-Shi
Nakanojo-Machi Agatsuma-Gun
Ogano-Machi Chichibu-Gun
Koriyama-Shi
Kariya-Shi
Tamaki-Cho Watarai-Gun
Ichikawa-Shi
Kohoku-Ku Yokohama-Shi
Onomichi-Shi
Tsurumi-Ku Yokohama-Shi
Nabari-Shi
Akaiwa-Shi
Imari-Shi
Higashihiroshima-Shi
Gosen-Shi
Owariasahi-Shi
Kakegawa-Shi
Minokamo-Shi
Shinshiro-Shi
64
Location
effect
0.149
0.149
0.146
0.145
0.145
0.145
0.145
0.143
0.140
0.138
0.132
0.132
0.131
0.130
0.129
0.125
0.125
0.125
0.125
0.123
0.119
0.118
0.116
0.114
0.114
0.112
0.109
0.109
0.109
0.106
0.104
0.102
0.099
0.098
0.096
0.095
0.095
0.095
0.085
0.083
0.079
0.079
0.079
0.079
0.077
0.076
0.075
0.075
0.074
0.072
0.070
0.069
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
State
Gifu
Akita
Mie
Okayama
Tokyo
Shimane
Gumma
Aichi
Kanagawa
Saitama
Tokyo
Saitama
Fukushima
Fukushima
Miyagi
Tochigi
Saitama
Nagano
Shizuoka
Hyogo
Hyogo
Shizuoka
Nagano
Nara
Shizuoka
Hyogo
Kumamoto
Yamaguchi
Kanagawa
Yamagata
Ishikawa
Iwate
Mie
Fukuoka
Osaka
Aichi
Osaka
Hokkaido
Nagano
Aichi
Kagawa
Gifu
Kanagawa
Nagano
Niigata
Saga
Ishikawa
Saitama
Niigata
Nagano
Nagano
Yamaguchi
City/Ward/Town/Village
Ena-Shi
Akita-Shi
Asahi-Cho Mie-Gun
Niimi-Shi
Akishima-Shi
Unnan-Shi
Tomioka-Shi
Toyokawa-Shi
Odawara-Shi
Konosu-Shi
Mizuho-Machi Nishitama-Gun
Iruma-Shi
Tanagura-Machi Higashishirakawa-Gun
Aizuwakamatsu-Shi
Shibata-Machi Shibata-Gun
Nasukarasuyama-Shi
Yashio-Shi
Iiyama-Shi
Numazu-Shi
Taishi-Cho Ibo-Gun
Nishinomiya-Shi
Gotemba-Shi
Minowa-Machi Kamiina-Gun
Yamatokoriyama-Shi
Kannami-Cho Tagata-Gun
Tarumi-Ku Kobe-Shi
Koshi-Shi
Ube-Shi
Midori-Ku Yokohama-Shi
Nanyo-Shi
Hakui-Shi
Fujisawa-Cho Higashiiwai-Gun
Meiwa-Cho Taki-Gun
Moji-Ku Kitakyushu-Shi
Asahi-Ku Osaka-Shi
Toyota-Shi
Toyonaka-Shi
Kitami-Shi
Shiojiri-Shi
Seto-Shi
Takamatsu-Shi
Hida-Shi
Ayase-Shi
Nagano-Shi
Seiro-Machi Kitakambara-Gun
Yoshinogari-Cho Kanzaki-Gun
Kaga-Shi
Hanyu-Shi
Niigata
Suwa-Shi
Chikuma-Shi
Yamaguchi-Shi
65
Location
effect
0.065
0.065
0.065
0.064
0.063
0.062
0.059
0.059
0.059
0.058
0.056
0.054
0.051
0.051
0.049
0.047
0.047
0.046
0.045
0.042
0.041
0.038
0.037
0.036
0.035
0.035
0.029
0.029
0.028
0.028
0.025
0.024
0.024
0.024
0.022
0.022
0.021
0.021
0.019
0.018
0.018
0.018
0.017
0.016
0.016
0.015
0.012
0.011
0.010
0.010
0.010
0.009
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
State
Yamagata
Gumma
Tokyo
Gifu
Shiga
Shizuoka
Hyogo
Shiga
Miyagi
Kumamoto
Hyogo
Gumma
Saitama
Hyogo
Niigata
Nagano
Kanagawa
Shizuoka
Iwate
Fukushima
Okayama
Fukuoka
Aichi
Saga
Hokkaido
Nagano
Fukushima
Tokyo
Gifu
Tochigi
Ibaraki
Aichi
Fukushima
Tochigi
Shizuoka
Gifu
Osaka
Mie
Aomori
Fukui
Osaka
Tochigi
Miyagi
Yamagata
Niigata
Tochigi
Chiba
Shizuoka
Ehime
Saitama
Saitama
Hyogo
City/Ward/Town/Village
Tsuruoka-Shi
Tamamura-Machi Sawa-Gun
Suginami-Ku
Nakatsugawa-Shi
Higashiomi-Shi
Hamamatsu
Tamba-Shi
Kusatsu-Shi
Murata-Machi Shibata-Gun
Minamata-Shi
Fukusaki-Cho Kanzaki-Gun
Midori-Shi
Kumagaya-Shi
Ono-Shi
Nagaoka-Shi
Matsumoto-Shi
Kamakura-Shi
Fujinomiya-Shi
Hanamaki-Shi
Fukushima-Shi
Bizen-Shi
Chikugo-Shi
Kasugai-Shi
Karatsu-Shi
Chitose-Shi
Azumino-Shi
Kagamiishi-Machi Iwase-Gun
Chofu-Shi
Ogaki-Shi
Nasushiobara-Shi
Ishioka-Shi
Nisshin-Shi
Shirakawa-Shi
Tochigi-Shi
Fuji-Shi
Kakamigahara-Shi
Yao-Shi
Yokkaichi-Shi
Kuroishi-Shi
Ono-Shi
Takatsuki-Shi
Ashikaga-Shi
Ohira-Mura Kurokawa-Gun
Sakata-Shi
Tokamachi-Shi
Kanuma-Shi
Sakura-Shi
Susono-Shi
Matsuyama-Shi
Fukaya-Shi
Gyoda-Shi
Sanda-Shi
66
Location
effect
0.006
0.005
0.002
0.002
0.001
0.000
-0.004
-0.005
-0.007
-0.007
-0.010
-0.010
-0.011
-0.013
-0.013
-0.014
-0.016
-0.017
-0.020
-0.020
-0.021
-0.021
-0.023
-0.023
-0.024
-0.024
-0.024
-0.025
-0.025
-0.027
-0.027
-0.028
-0.029
-0.030
-0.030
-0.030
-0.031
-0.032
-0.033
-0.033
-0.033
-0.034
-0.034
-0.035
-0.035
-0.035
-0.036
-0.037
-0.038
-0.039
-0.039
-0.041
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
State
Kanagawa
Shizuoka
Fukuoka
Ibaraki
Tokyo
Nagano
Hyogo
Osaka
Tokyo
Aomori
Hyogo
Oita
Ibaraki
Gifu
Ishikawa
Ibaraki
Tokyo
Ibaraki
Tochigi
Tochigi
Yamanashi
Osaka
Osaka
Miyazaki
Kanagawa
Fukushima
Shizuoka
Kyoto
Okayama
Aichi
Ishikawa
Fukushima
Tottori
Nagano
Kumamoto
Fukushima
Aomori
Tochigi
Aichi
Nagano
Osaka
Fukuoka
Gifu
Gumma
Kagoshima
Shiga
Saitama
Akita
Gumma
Chiba
Tokyo
Yamanashi
City/Ward/Town/Village
Zama-Shi
Shimada-Shi
Kurume-Shi
Chikusei-Shi
Itabashi-Ku
Iijima-Machi Kamiina-Gun
Hyogo-Ku Kobe-Shi
Ibaraki-Shi
Hino-Shi
Aomori-Shi
Ako-Shi
Usa-Shi
Mito-Shi
Mizunami-Shi
Nakanoto-Machi Kashima-Gun
Koga-Shi
Akiruno-Shi
Joso-Shi
Nikko-Shi
Oyama-Shi
Kofu-Shi
Suita-Shi
Kita-Ku Osaka-Shi
Kiyotake-cho
Hiratsuka-Shi
Izumizaki-Mura Nishishirakawa-Gun
Mishima-Shi
Yawata-Shi
Tsuyama-Shi
Anjo-Shi
Nanao-Shi
Sukagawa-Shi
Tottori-Shi
Okaya-Shi
Ozu-Machi Kikuchi-Gun
Date-Shi
Nambu-Cho Sannohe-Gun
Motegi-Machi Haga-Gun
Kiyosu-Shi
Chino-Shi
Katano-Shi
Nogata-Shi
Kani-Shi
Higashiagatsuma-Machi Agatsuma-Gun
Satsumasendai-Shi
Nagahama-Shi
Kuki-Shi
Yurihonjo-Shi
Isesaki-Shi
Funabashi-Shi
Hamura-Shi
Tsuru-Shi
67
Location
effect
-0.041
-0.042
-0.045
-0.045
-0.046
-0.047
-0.047
-0.049
-0.049
-0.049
-0.052
-0.052
-0.052
-0.053
-0.053
-0.054
-0.054
-0.057
-0.057
-0.058
-0.059
-0.060
-0.062
-0.062
-0.064
-0.066
-0.067
-0.068
-0.069
-0.069
-0.069
-0.069
-0.070
-0.071
-0.072
-0.073
-0.075
-0.076
-0.076
-0.079
-0.080
-0.081
-0.081
-0.082
-0.083
-0.084
-0.084
-0.084
-0.085
-0.085
-0.086
-0.086
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
State
Ibaraki
Iwate
Oita
Yamagata
Miyagi
Nagano
Shizuoka
Fukushima
Kyoto
Hyogo
Nagano
Okayama
Gumma
Okayama
Ibaraki
Osaka
Mie
Aichi
Gumma
Yamanashi
Kanagawa
Saitama
Toyama
Niigata
Niigata
Fukuoka
Saga
Iwate
Gumma
Fukushima
Mie
Shiga
Shiga
Kanagawa
Shiga
Saitama
Ehime
Osaka
Yamanashi
Kanagawa
Chiba
Osaka
Osaka
Saitama
Hiroshima
Nagano
Osaka
Kagoshima
Chiba
Tokyo
Shiga
Tottori
City/Ward/Town/Village
Naka-Shi
Ichinoseki-Shi
Nakatsu-Shi
Murayama-Shi
Sendai
Fujimi-Machi Suwa-Gun
Fukuroi-Shi
Nishigo-Mura Nishishirakawa-Gun
Fukuchiyama-Shi
Itami-Shi
Komagane-Shi
Wake-Cho Wake-Gun
Fujioka-Shi
Okayama
Yachiyo-Machi Yuki-Gun
Kadoma-Shi
Suzuka-Shi
Komaki-Shi
Ota-Shi
Oshino-Mura Minamitsuru-Gun
Hadano-Shi
Saitama
Uozu-Shi
Sanjo-Shi
Uonuma-Shi
Higashi-Ku Fukuoka-Shi
Saga-Shi
Kitakami-Shi
Maebashi-Shi
Iwaki-Shi
Komono-Cho Mie-Gun
Omihachiman-Shi
Konan-Shi
Atsugi-Shi
Yasu-Shi
Honjo-Shi
Niihama-Shi
Higashiyodogawa-Ku Osaka-Shi
Fujiyoshida-Shi
Saiwai-Ku Kawasaki-Shi
Kimitsu-Shi
Hirano-Ku Osaka-Shi
Neyagawa-Shi
Kamisato-Machi Kodama-Gun
Minami-Ku Hiroshima-Shi
Saku-Shi
Moriguchi-Shi
Kirishima-Shi
Mobara-Shi
Ota-Ku
Koka-Shi
Kurayoshi-Shi
68
Location
effect
-0.089
-0.090
-0.090
-0.090
-0.090
-0.095
-0.096
-0.101
-0.105
-0.105
-0.105
-0.105
-0.106
-0.106
-0.107
-0.107
-0.108
-0.108
-0.109
-0.109
-0.109
-0.111
-0.111
-0.111
-0.113
-0.113
-0.113
-0.113
-0.113
-0.114
-0.114
-0.116
-0.116
-0.117
-0.120
-0.120
-0.123
-0.125
-0.126
-0.126
-0.127
-0.128
-0.129
-0.129
-0.129
-0.129
-0.130
-0.130
-0.131
-0.131
-0.133
-0.133
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
State
Kanagawa
Shizuoka
Fukushima
Fukuoka
Niigata
Nagano
Tokyo
Fukui
Yamanashi
Hyogo
Toyama
Yamanashi
Mie
Tochigi
Hyogo
Kyoto
Yamagata
Tochigi
Kanagawa
Miyagi
Gifu
Kagawa
Saitama
Ibaraki
Yamanashi
Mie
Shiga
Saitama
Kumamoto
Tokyo
Gumma
Ibaraki
Shiga
Saitama
Shizuoka
Yamagata
Nagano
Hyogo
Mie
Hyogo
Tokyo
Kanagawa
Kanagawa
Aichi
Mie
Fukuoka
Kanagawa
Niigata
Osaka
Ishikawa
Kanagawa
Fukushima
City/Ward/Town/Village
Aikawa-Machi Aiko-Gun
Yoshida-Cho Haibara-Gun
Soma-Shi
Yukuhashi-Shi
Shibata-Shi
Ueda-Shi
Ome-Shi
Wakasa-Cho Mikatakaminaka-Gun
Uenohara-Shi
Toyoka-Shi
Takaoka-Shi
Koshu-Shi
Matsusaka-Shi
Yaita-Shi
Kato-Shi
Joyo-Shi
Tendo-Shi
Sano-Shi
Nakai-Machi Ashigarakami-Gun
Tagajo-Shi
Mitake-Cho Kani-Gun
Marugame-Shi
Chichibu-Shi
Ami-Machi Inashiki-Gun
Minamiarupusu-Shi
Kameyama-Shi
Moriyama-Shi
Fujimino-Shi
Uki-Shi
Hachioji-Shi
Kiryu-Shi
Hitachinaka-Shi
Hikone-Shi
Tokorozawa-Shi
Kosai-Shi
Yonezawa-Shi
Omachi-Shi
Kakogawa-Shi
Taki-Cho Taki-Gun
Amagasaki-Shi
Nerima-Ku
Asahi-Ku Yokohama-Shi
Takatsu-Ku Kawasaki-Shi
Midori-Ku Nagoya-Shi
Inabe-Shi
Yahatanishi-Ku Kitakyushu-Shi
Kawasaki-Ku Kawasaki-Shi
Minamiuonuma-Shi
Higashiosaka-Shi
Nomi-Shi
Nakahara-Ku Kawasaki-Shi
Minamisoma-Shi
69
Location
effect
-0.133
-0.133
-0.136
-0.136
-0.137
-0.138
-0.138
-0.138
-0.139
-0.139
-0.140
-0.141
-0.141
-0.142
-0.143
-0.146
-0.146
-0.147
-0.148
-0.149
-0.149
-0.149
-0.149
-0.150
-0.150
-0.151
-0.152
-0.152
-0.152
-0.153
-0.155
-0.155
-0.156
-0.156
-0.156
-0.157
-0.158
-0.164
-0.165
-0.166
-0.166
-0.167
-0.172
-0.172
-0.173
-0.175
-0.176
-0.176
-0.177
-0.177
-0.177
-0.179
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
State
Toyama
Kyoto
Osaka
Akita
Iwate
Nagano
Nagasaki
Okayama
Akita
Hokkaido
Chiba
Ibaraki
Akita
Toyama
Hyogo
Kanagawa
Saitama
Kanagawa
Ibaraki
Ishikawa
Mie
Aichi
Gifu
Chiba
Fukushima
Akita
Kanagawa
Miyagi
Kagoshima
Ibaraki
Shiga
Kumamoto
Osaka
Kanagawa
Gumma
Nagasaki
Chiba
Nagano
Fukushima
Fukushima
Shimane
Tokyo
Yamanashi
Miyagi
Miyagi
Kanagawa
Kyoto
Kanagawa
Aichi
Chiba
Osaka
Tochigi
City/Ward/Town/Village
Toyama-Shi
Kameoka-Shi
Suminoe-Ku Osaka-Shi
Katagami-Shi
Ninohe-Shi
Sakaki-Machi Hanishina-Gun
Omura-Shi
Kasaoka-Shi
Daisen-Shi
Tomakomai-Shi
Yachiyo-Shi
Yuki-Shi
Yuzawa-Shi
Imizu-Shi
Kasai-Shi
Chigasaki-Shi
Misato-Shi
Yamato-Shi
Hitachi-Shi
Hakusan-Shi
Ise-Shi
Oguchi-Cho Niwa-Gun
Gujo-Shi
Narashino-Shi
Motomiya-Shi
Nikaho-Shi
Fujisawa-Shi
Ishinomaki-Shi
Minamisatsuma-Shi
Hitachiomiya-Shi
Otsu-Shi
Nishihara-Mura Aso-Gun
Shijonawate-Shi
Sagamihara
Takasaki-Shi
Isahaya-Shi
Katori-Shi
Komoro-Shi
Tamura-Shi
Kitakata-Shi
Izumo-Shi
Fuchu-Shi
Fuefuki-Shi
Shiroishi-Shi
Natori-Shi
Samukawa-Machi Koza-Gun
Nagaokakyo-Shi
Tama-Ku Kawasaki-Shi
Inuyama-Shi
Kashiwa-Shi
Daito-Shi
Utsunomiya-Shi
70
Location
effect
-0.180
-0.181
-0.181
-0.182
-0.183
-0.184
-0.185
-0.185
-0.185
-0.187
-0.193
-0.193
-0.199
-0.199
-0.201
-0.203
-0.205
-0.206
-0.207
-0.207
-0.207
-0.208
-0.208
-0.208
-0.209
-0.211
-0.211
-0.213
-0.213
-0.214
-0.216
-0.217
-0.219
-0.221
-0.222
-0.222
-0.223
-0.224
-0.225
-0.229
-0.234
-0.237
-0.237
-0.238
-0.239
-0.240
-0.242
-0.242
-0.248
-0.249
-0.251
-0.258
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
State
Nagano
Mie
Miyagi
Ibaraki
Fukushima
Tochigi
Fukushima
Niigata
Kanagawa
Akita
Niigata
Ibaraki
Ibaraki
Kanagawa
Osaka
Miyagi
Aichi
Yamanashi
Kanagawa
Saitama
Nara
Kanagawa
Gifu
Tokyo
Fukui
Kyoto
Hyogo
Tokushima
Mie
Yamagata
Gifu
Gumma
Chiba
Tokyo
Saitama
Iwate
Chiba
Chiba
Yamagata
Toyama
Ibaraki
Shizuoka
Saitama
Kyoto
Ishikawa
Mie
Shiga
Saitama
Hyogo
Kyoto
Shimane
Aomori
City/Ward/Town/Village
Tomi-Shi
Iga-Shi
Kurihara-Shi
Sakuragawa-Shi
Nakajima-Mura Nishishirakawa-Gun
Moka-Shi
Kawamata-Machi Date-Gun
Kashiwazaki-Shi
Totsuka-Ku Yokohama-Shi
Yokote-Shi
Joetsu-Shi
Kasama-Shi
Ryugasaki-Shi
Isehara-Shi
Yodogawa-Ku Osaka-Shi
Osaki-Shi
Nakagawa-Ku Nagoya-Shi
Chuo-Shi
Yokosuka-Shi
Hidaka-Shi
Kashihara-Shi
Ebina-Shi
Seki-Shi
Meguro-Ku
Obama-Shi
Ukyo-Ku Kyoto-Shi
Sumoto-Shi
Yoshinogawa-Shi
Kuwana-Shi
Nagai-Shi
Tajimi-Shi
Oizumi-Machi Ora-Gun
Ichihara-Shi
Machida-Shi
Hanno-Shi
Miyako-Shi
Chiba
Tateyama-Shi
Sagae-Shi
Namerikawa-Shi
Tsukuba-Shi
Fujieda-Shi
Sayama-Shi
Minami-Ku Kyoto-Shi
Kahoku-Shi
Shima-Shi
Takashima-Shi
Sakado-Shi
Takarazuka-Shi
Uji-Shi
Masuda-Shi
Towada-Shi
71
Location
effect
-0.258
-0.258
-0.260
-0.263
-0.263
-0.266
-0.267
-0.267
-0.268
-0.270
-0.271
-0.271
-0.272
-0.273
-0.274
-0.275
-0.275
-0.278
-0.279
-0.281
-0.285
-0.285
-0.287
-0.293
-0.293
-0.295
-0.298
-0.311
-0.311
-0.313
-0.314
-0.314
-0.317
-0.317
-0.319
-0.326
-0.334
-0.335
-0.341
-0.345
-0.348
-0.350
-0.351
-0.352
-0.354
-0.354
-0.357
-0.358
-0.361
-0.362
-0.363
-0.365
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
State
Miyazaki
Saitama
Ibaraki
Ishikawa
Ibaraki
Toyama
Osaka
Niigata
Aichi
Tokyo
Miyagi
Mie
Akita
Kumamoto
Ibaraki
Yamanashi
Tokyo
Ishikawa
Miyazaki
Kagoshima
Kyoto
Saga
Tottori
Tokyo
Tokyo
Ibaraki
Yamanashi
Nagasaki
Yamagata
Miyazaki
Iwate
Fukushima
Niigata
Fukuoka
Akita
Hyogo
Miyagi
Miyagi
Hyogo
Fukuoka
Saitama
Hokkaido
Ishikawa
Tottori
Hokkaido
Niigata
Akita
Tokyo
Saitama
Saitama
Yamagata
Fukuoka
City/Ward/Town/Village
Miyazaki-Shi
Ageo-Shi
Kamisu-Shi
Kanazawa-Shi
Kitaibaraki-Shi
Nyuzen-Machi Shimoniikawa-Gun
Nishinari-Ku Osaka-Shi
Murakami-Shi
Minami-Ku Nagoya-Shi
Shinagawa-Ku
Tome-Shi
Tsu-Shi
Semboku-Shi
Tamana-Shi
Inashiki-Shi
Nirasaki-Shi
Higashikurume-Shi
Shika-Machi Hakui-Gun
Miyakonojo-Shi
Izumi-Shi
Kumiyama-Cho Kuse-Gun
Takeo-Shi
Daisen-Cho Saihaku-Gun
Kokubunji-Shi
Tama-Shi
Omitama-Shi
Kai-Shi
Sasebo-Shi
Obanazawa-Shi
Nichinan-Shi
Oshu-Shi
Nihommatsu-Shi
Sado-Shi
Fukuchi-Machi Tagawa-Gun
Odate-Shi
Higashinada-Ku Kobe-Shi
Watari-Cho Watari-Gun
Tomiya-Machi Kurokawa-Gun
Yabu-Shi
Koga-Shi
Soka-Shi
Higashi-Ku Sapporo-Shi
Komatsu-Shi
Yonago-Shi
Muroran-Shi
Tsubame-Shi
Kitaakita-Shi
Inagi-Shi
Namegawa-Machi Hiki-Gun
Kitamoto-Shi
Shinjo-Shi
Iizuka-Shi
72
Location
effect
-0.373
-0.374
-0.375
-0.378
-0.379
-0.381
-0.381
-0.382
-0.384
-0.385
-0.394
-0.396
-0.399
-0.411
-0.411
-0.416
-0.420
-0.425
-0.430
-0.433
-0.435
-0.443
-0.443
-0.446
-0.449
-0.463
-0.470
-0.471
-0.474
-0.481
-0.485
-0.487
-0.489
-0.495
-0.501
-0.501
-0.501
-0.502
-0.505
-0.510
-0.515
-0.518
-0.530
-0.544
-0.544
-0.560
-0.575
-0.576
-0.583
-0.586
-0.590
-0.591
Industry Ranking
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
State
Ehime
Saitama
Osaka
Shizuoka
Shimane
Kanagawa
Fukui
Tokyo
Akita
Kyoto
Shimane
Chiba
Fukui
Kumamoto
Fukuoka
Hokkaido
Gumma
Shimane
Osaka
Fukui
Aichi
Mie
Aichi
Yamagata
Chiba
Gifu
Shizuoka
Shizuoka
Shizuoka
Saitama
Aichi
Yamaguchi
Hiroshima
Saitama
Tochigi
Niigata
Yamaguchi
Hyogo
Niigata
Iwate
Niigata
Aichi
Kanagawa
Gifu
Tokyo
Tochigi
Aichi
Shizuoka
Mie
Gumma
Saga
Saitama
City/Ward/Town/Village
Uwajima-Shi
Misato-Machi Kodama-Gun
Kashiwara-Shi
Omaezaki-Shi
Hikawa-Cho Hikawa-Gun
Kanazawa-Ku Yokohama-Shi
Echizen-Shi
Higashimurayama-Shi
Ugo-Machi Ogachi-Gun
Yamashina-Ku Kyoto-Shi
Gotsu-Shi
Noda-Shi
Fukui-Shi
Yamaga-Shi
Hakata-Ku Fukuoka-Shi
Nishi-Ku Sapporo-Shi
Yoshii-cho
Matsue-Shi
Habikino-Shi
Awara-Shi
Moriyama-Ku Nagoya-Shi
Ise-Shi
Yatomi-Shi
Shinjo-Shi
Sakura-Shi
Sakahogi-Cho Kamo-Gun
Yaizu-Shi
Fujieda-Shi
Susono-Shi
Kuki-Shi
Shinshiro-Shi
Sanyoonoda-Shi
Fukuyama-Shi
Shobu-cho
Nasukarasuyama-Shi
Tsubame-Shi
Yamaguchi-Shi
Aioi-Shi
Sanjo-Shi
Kanegasaki-Cho Isawa-Gun
Niigata
Kitanagoya-Shi
Samukawa-Machi Koza-Gun
Nakatsugawa-Shi
Hino-Shi
Yaita-Shi
Gamagori-Shi
Kosai-Shi
Inabe-Shi
Maebashi-Shi
Imari-Shi
Hidaka-Shi
73
Location
effect
-0.595
-0.644
-0.646
-0.651
-0.667
-0.699
-0.713
-0.721
-0.738
-0.755
-0.757
-0.764
-0.766
-0.800
-0.827
-0.871
-0.877
-0.896
-0.920
-0.997
-1.117
1.082
0.495
0.439
0.430
0.428
0.406
0.395
0.335
0.317
0.307
0.295
0.262
0.238
0.234
0.227
0.223
0.214
0.202
0.199
0.191
0.187
0.187
0.179
0.178
0.175
0.161
0.156
0.150
0.149
0.149
0.148
Industry Ranking
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
State
Saga
Tokyo
Yamaguchi
Nagasaki
Aichi
Fukushima
Shizuoka
Aichi
Saitama
Aichi
Aichi
Yamagata
Okayama
Hyogo
Hyogo
Shizuoka
Toyama
Saitama
Aichi
Aichi
Saitama
Yamaguchi
Toyama
Saitama
Aichi
Saitama
Shizuoka
Kanagawa
Aichi
Shizuoka
Gumma
Aichi
Shizuoka
Saitama
Gumma
Hyogo
Aichi
Oita
Shizuoka
Chiba
Hiroshima
Shizuoka
Kyoto
Tochigi
Aichi
Osaka
Aichi
Hiroshima
Okayama
Oita
Aichi
Mie
City/Ward/Town/Village
Kashima-Shi
Mizuho-Machi Nishitama-Gun
Ube-Shi
Higashisonogi-Cho Higashisonogi-Gun
Tahara-Shi
Tamura-Shi
Shimizu-Cho Sunto-Gun
Nakagawa-Ku Nagoya-Shi
Yorii-Machi Osato-Gun
Takahama-Shi
Nishio-Shi
Kaminoyama-Shi
Tamano-Shi
Tarumi-Ku Kobe-Shi
Kawanishi-Shi
Makinohara-Shi
Namerikawa-Shi
Misato-Machi Kodama-Gun
Toyokawa-Shi
Komaki-Shi
Ina-Machi Kitaadachi-Gun
Hofu-Shi
Toyama-Shi
Konosu-Shi
Okazaki-Shi
Higashimatsuyama-Shi
Iwata-Shi
Takatsu-Ku Kawasaki-Shi
Toyohashi-Shi
Shimada-Shi
Ora-Machi Ora-Gun
Hekinan-Shi
Shizuoka
Kumagaya-Shi
Fujioka-Shi
Hyogo-Ku Kobe-Shi
Anjo-Shi
Nakatsu-Shi
Fukuroi-Shi
Matsudo-Shi
Minami-Ku Hiroshima-Shi
Numazu-Shi
Kyotango-Shi
Nasushiobara-Shi
Handa-Shi
Sakai
Toyota-Shi
Aki-Ku Hiroshima-Shi
Okayama
Usa-Shi
Kita-Ku Nagoya-Shi
Kisosaki-Cho Kuwana-Gun
74
Location
effect
0.142
0.141
0.137
0.135
0.130
0.129
0.128
0.122
0.116
0.114
0.114
0.112
0.111
0.105
0.104
0.101
0.097
0.094
0.093
0.093
0.090
0.090
0.090
0.089
0.087
0.087
0.086
0.081
0.080
0.078
0.071
0.070
0.070
0.069
0.069
0.069
0.068
0.062
0.057
0.056
0.055
0.055
0.053
0.053
0.052
0.051
0.049
0.048
0.048
0.044
0.042
0.040
Industry Ranking
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
State
Shizuoka
Hyogo
Gifu
Shizuoka
Akita
Mie
Toyama
Aichi
Iwate
Hiroshima
Tochigi
Gifu
Nagano
Gumma
Kyoto
Nagano
Hiroshima
Hiroshima
Okayama
Aichi
Tochigi
Chiba
Shizuoka
Shizuoka
Gifu
Kanagawa
Fukuoka
Nagano
Gumma
Kanagawa
Aichi
Saitama
Hiroshima
Gumma
Nagasaki
Nagano
Ehime
Aichi
Kanagawa
Aichi
Gumma
Aichi
Tochigi
Mie
Nagasaki
Tokyo
Fukuoka
Aichi
Shizuoka
Kanagawa
Gifu
Kanagawa
City/Ward/Town/Village
Gotemba-Shi
Amagasaki-Shi
Gujo-Shi
Kakegawa-Shi
Yokote-Shi
Kameyama-Shi
Oyabe-Shi
Ichinomiya-Shi
Kitakami-Shi
Asakita-Ku Hiroshima-Shi
Utsunomiya-Shi
Gifu-Shi
Nagano-Shi
Takasaki-Shi
Minami-Ku Kyoto-Shi
Saku-Shi
Higashihiroshima-Shi
Akitakata-Shi
Kurashiki-Shi
Toyoake-Shi
Oyama-Shi
Ichihara-Shi
Hamamatsu
Izunokuni-Shi
Tarui-Cho Fuwa-Gun
Midori-Ku Yokohama-Shi
Miyawaka-Shi
Agematsu-Machi Kiso-Gun
Midori-Shi
Ebina-Shi
Miyoshi-cho
Honjo-Shi
Kaita-Cho Aki-Gun
Ota-Shi
Nagasaki-Shi
Ueda-Shi
Imabari-Shi
Inuyama-Shi
Hadano-Shi
Chiryu-Shi
Oizumi-Machi Ora-Gun
Seto-Shi
Ashikaga-Shi
Iga-Shi
Isahaya-Shi
Ota-Ku
Shingu-Machi Kasuya-Gun
Minami-Ku Nagoya-Shi
Fujinomiya-Shi
Sagamihara
Seki-Shi
Isehara-Shi
75
Location
effect
0.040
0.039
0.039
0.038
0.032
0.029
0.027
0.025
0.025
0.024
0.021
0.021
0.014
0.012
0.011
0.010
0.010
0.009
0.009
0.008
0.005
0.002
0.000
0.000
-0.001
-0.001
-0.003
-0.005
-0.005
-0.006
-0.006
-0.009
-0.010
-0.010
-0.011
-0.011
-0.012
-0.013
-0.014
-0.014
-0.015
-0.016
-0.016
-0.016
-0.017
-0.018
-0.019
-0.021
-0.024
-0.024
-0.026
-0.027
Industry Ranking
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
State
Niigata
Hyogo
Tokyo
Gumma
Shizuoka
Kanagawa
Aichi
Fukushima
Kanagawa
Hiroshima
Gumma
Kumamoto
Yamanashi
Okayama
Kyoto
Aichi
Gumma
Gifu
Saitama
Miyagi
Aichi
Saitama
Okayama
Tokyo
Kanagawa
Shiga
Nagano
Gifu
Kanagawa
Tochigi
Gifu
Yamaguchi
Tochigi
Nagano
Kanagawa
Aichi
Saitama
Osaka
Hokkaido
Mie
Saitama
Kanagawa
Hyogo
Shizuoka
Aichi
Tochigi
Gifu
Kanagawa
Tokyo
Hyogo
Gifu
Saitama
City/Ward/Town/Village
Minamiuonuma-Shi
Higashinada-Ku Kobe-Shi
Adachi-Ku
Tatebayashi-Shi
Kikugawa-Shi
Aikawa-Machi Aiko-Gun
Midori-Ku Nagoya-Shi
Iwaki-Shi
Zama-Shi
Kure-Shi
Tomioka-Shi
Ozu-Machi Kikuchi-Gun
Otsuki-Shi
Ibara-Shi
Uji-Shi
Kota-Cho Nukata-Gun
Tamamura-Machi Sawa-Gun
Tajimi-Shi
Kawagoe-Shi
Kakuda-Shi
Atsuta-Ku Nagoya-Shi
Ranzan-Machi Hiki-Gun
Soja-Shi
Katsushika-Ku
Totsuka-Ku Yokohama-Shi
Omihachiman-Shi
Chikuma-Shi
Ena-Shi
Yokosuka-Shi
Sano-Shi
Mitake-Cho Kani-Gun
Iwakuni-Shi
Shimotsuke-Shi
Tatsuno-Machi Kamiina-Gun
Hiratsuka-Shi
Obu-Shi
Ageo-Shi
Konohana-Ku Osaka-Shi
Tomakomai-Shi
Suzuka-Shi
Gyoda-Shi
Kawasaki-Ku Kawasaki-Shi
Akashi-Shi
Oyama-Cho Sunto-Gun
Kariya-Shi
Moka-Shi
Kani-Shi
Fujisawa-Shi
Hamura-Shi
Ono-Shi
Yoro-Cho Yoro-Gun
Iruma-Shi
76
Location
effect
-0.027
-0.027
-0.027
-0.027
-0.033
-0.033
-0.033
-0.034
-0.039
-0.039
-0.041
-0.043
-0.047
-0.047
-0.047
-0.047
-0.051
-0.052
-0.052
-0.053
-0.054
-0.055
-0.057
-0.057
-0.061
-0.064
-0.065
-0.071
-0.071
-0.072
-0.073
-0.075
-0.076
-0.076
-0.078
-0.080
-0.080
-0.081
-0.082
-0.082
-0.085
-0.085
-0.090
-0.091
-0.091
-0.092
-0.092
-0.093
-0.098
-0.101
-0.102
-0.103
Industry Ranking
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
State
Osaka
Fukuoka
Nagano
Kanagawa
Mie
Ibaraki
Aichi
Saitama
Fukuoka
Kanagawa
Gifu
Hiroshima
Tochigi
Nagano
Gumma
Yamaguchi
Nagano
Shiga
Hyogo
Kanagawa
Hiroshima
Ibaraki
Kyoto
Hiroshima
Kyoto
Gifu
Aichi
Yamaguchi
Gifu
Shiga
Aichi
Shiga
Yamagata
Kanagawa
Fukushima
Tochigi
Osaka
Aichi
Hokkaido
Gumma
Shizuoka
Tokyo
Kanagawa
Kanagawa
Nagano
Aichi
Saitama
Saitama
Hyogo
Kanagawa
Gumma
Hyogo
City/Ward/Town/Village
Toyonaka-Shi
Kanda-Machi Miyako-Gun
Ina-Shi
Atsugi-Shi
Komono-Cho Mie-Gun
Koga-Shi
Kasugai-Shi
Toda-Shi
Miyako-Machi Miyako-Gun
Kohoku-Ku Yokohama-Shi
Ogaki-Shi
Miyoshi-Shi
Kaminokawa-Machi Kawachi-Gun
Suwa-Shi
Isesaki-Shi
Shimonoseki-Shi
Komagane-Shi
Koka-Shi
Sanda-Shi
Ayase-Shi
Onomichi-Shi
Hitachi-Shi
Maizuru-Shi
Fuchu-Cho Aki-Gun
Ukyo-Ku Kyoto-Shi
Ibigawa-Cho Ibi-Gun
Inazawa-Shi
Kudamatsu-Shi
Kakamigahara-Shi
Konan-Shi
Tempaku-Ku Nagoya-Shi
Kusatsu-Shi
Tsuruoka-Shi
Yamato-Shi
Tamakawa-Mura Ishikawa-Gun
Iwafune-Machi Shimotsuga-Gun
Neyagawa-Shi
Higashiura-Cho Chita-Gun
Nishi-Ku Sapporo-Shi
Kiryu-Shi
Fuji-Shi
Akishima-Shi
Kanazawa-Ku Yokohama-Shi
Tsurumi-Ku Yokohama-Shi
Okaya-Shi
Minato-Ku Nagoya-Shi
Kawaguchi-Shi
Sayama-Shi
Itami-Shi
Kamakura-Shi
Shinto-Mura Kitagumma-Gun
Himeji-Shi
77
Location
effect
-0.105
-0.106
-0.107
-0.108
-0.109
-0.112
-0.112
-0.114
-0.116
-0.116
-0.117
-0.120
-0.124
-0.132
-0.135
-0.136
-0.136
-0.139
-0.141
-0.143
-0.145
-0.146
-0.147
-0.148
-0.149
-0.149
-0.150
-0.152
-0.155
-0.158
-0.161
-0.166
-0.168
-0.170
-0.172
-0.177
-0.178
-0.180
-0.180
-0.181
-0.183
-0.184
-0.185
-0.187
-0.195
-0.200
-0.210
-0.227
-0.235
-0.236
-0.239
-0.240
Industry Ranking
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
State
Ishikawa
Saitama
Tochigi
Hyogo
Tokyo
Kumamoto
Miyazaki
Osaka
Nagano
Saitama
Kumamoto
Kumamoto
Hyogo
Shizuoka
Tochigi
Kanagawa
Mie
Saitama
Tokyo
Hokkaido
Nagano
Saitama
Hyogo
Iwate
Aichi
Fukuoka
Yamagata
Tochigi
Saitama
Tokyo
Okayama
Osaka
Gifu
Ishikawa
Okayama
Gifu
Nara
Ibaraki
Hiroshima
Tottori
Tokushima
Wakayama
Aichi
Ibaraki
Kagawa
Gifu
Ehime
Fukuoka
Hiroshima
Okinawa
Oita
Fukushima
City/Ward/Town/Village
Hakusan-Shi
Saitama
Haga-Machi Haga-Gun
Kato-Shi
Hachioji-Shi
Koshi-Shi
Miyazaki-Shi
Higashiosaka-Shi
Miyada-Mura Kamiina-Gun
Wako-Shi
Nagasu-Machi Tamana-Gun
Kikuchi-Shi
Kasai-Shi
Omaezaki-Shi
Kanuma-Shi
Nakahara-Ku Kawasaki-Shi
Tsu-Shi
Chichibu-Shi
Itabashi-Ku
Chitose-Shi
Komoro-Shi
Fukaya-Shi
Tatsuno-Shi
Oshu-Shi
Oguchi-Cho Niwa-Gun
Buzen-Shi
Sagae-Shi
Sakura-Shi
Asaka-Shi
Fussa-Shi
Mimasaka-Shi
Yao-Shi
Ono-Cho Ibi-Gun
Kahoku-Shi
Ibara-Shi
Yoro-Cho Yoro-Gun
Yamatotakada-Shi
Naka-Shi
Fuchu-Shi
Iwami-Cho Iwami-Gun
Naka-Cho Naka-Gun
Kainan-Shi
Tokoname-Shi
Hitachiomiya-Shi
Shodoshima-Cho Shozu-Gun
Sekigahara-Cho Fuwa-Gun
Ozu-Shi
Nogata-Shi
Kitahiroshima-Cho Yamagata-Gun
Nanjo-Shi
Taketa-Shi
Shirakawa-Shi
78
Location
effect
-0.241
-0.254
-0.272
-0.275
-0.277
-0.278
-0.279
-0.285
-0.290
-0.304
-0.323
-0.325
-0.327
-0.328
-0.330
-0.334
-0.343
-0.367
-0.370
-0.375
-0.381
-0.382
-0.439
-0.456
-0.457
-0.494
-0.559
-0.560
-0.563
-0.581
-0.757
-0.800
1.250
1.197
0.899
0.857
0.818
0.777
0.771
0.742
0.741
0.690
0.679
0.655
0.628
0.597
0.560
0.554
0.523
0.514
0.485
0.427
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
State
Ibaraki
Hyogo
Fukuoka
Ehime
Shiga
Nagano
Hyogo
Chiba
Tokyo
Osaka
Shizuoka
Fukushima
Chiba
Fukuoka
Kanagawa
Aichi
Kyoto
Hokkaido
Nagano
Tokyo
Niigata
Ibaraki
Niigata
Chiba
Shimane
Nara
Ishikawa
Saitama
Aichi
Yamanashi
Mie
Osaka
Niigata
Shimane
Tokyo
Hokkaido
Fukui
Kanagawa
Fukushima
Kanagawa
Wakayama
Chiba
Toyama
Tokyo
Niigata
Niigata
Niigata
Ishikawa
Aichi
Niigata
Yamaguchi
Tokyo
City/Ward/Town/Village
Ibaraki-Machi Higashiibaraki-Gun
Kamikawa-Cho Kanzaki-Gun
Wakamatsu-Ku Kitakyushu-Shi
Iyo-Shi
Takashima-Shi
Komagane-Shi
Yabu-Shi
Choshi-Shi
Ome-Shi
Higashiyodogawa-Ku Osaka-Shi
Mori-Machi Shuchi-Gun
Aizubange-Machi Kawanuma-Gun
Shiroi-Shi
Nishi-Ku Fukuoka-Shi
Isogo-Ku Yokohama-Shi
Komaki-Shi
Kyotanabe-Shi
Toyako-Cho Abuta-Gun
Toyoka-Mura Shimoina-Gun
Chofu-Shi
Murakami-Shi
Itako-Shi
Sado-Shi
Sakae-Machi Imba-Gun
Masuda-Shi
Kashiba-Shi
Kanazawa-Shi
Matsubushi-Machi Kitakatsushika-Gun
Toyoake-Shi
Fuefuki-Shi
Kuwana-Shi
Ikeda-Shi
Tainai-Shi
Gotsu-Shi
Meguro-Ku
Higashi-Ku Sapporo-Shi
Tsuruga-Shi
Ayase-Shi
Tamura-Shi
Odawara-Shi
Kamitonda-Cho Nishimuro-Gun
Narita-Shi
Himi-Shi
Kodaira-Shi
Shibata-Shi
Kashiwazaki-Shi
Ojiya-Shi
Kawakita-Machi Nomi-Gun
Nakamura-Ku Nagoya-Shi
Gosen-Shi
Shunan-Shi
Taito-Ku
79
Location
effect
0.401
0.399
0.395
0.392
0.389
0.387
0.383
0.378
0.378
0.373
0.368
0.364
0.359
0.357
0.354
0.354
0.351
0.343
0.343
0.336
0.336
0.335
0.335
0.335
0.330
0.325
0.321
0.317
0.316
0.316
0.315
0.314
0.314
0.303
0.302
0.299
0.293
0.291
0.291
0.290
0.289
0.288
0.288
0.285
0.283
0.282
0.281
0.279
0.278
0.277
0.277
0.276
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
State
Kanagawa
Shizuoka
Toyama
Kanagawa
Tochigi
Niigata
Niigata
Kyoto
Ehime
Hyogo
Miyazaki
Shizuoka
Mie
Nagano
Chiba
Kagawa
Osaka
Niigata
Okayama
Saitama
Saitama
Ibaraki
Gumma
Kanagawa
Mie
Aichi
Tokyo
Aichi
Iwate
Ehime
Kyoto
Nagano
Kagoshima
Shizuoka
Kyoto
Osaka
Saitama
Ibaraki
Hokkaido
Aichi
Hyogo
Kagoshima
Chiba
Hokkaido
Tokyo
Kanagawa
Saga
Hyogo
Osaka
Niigata
Chiba
Wakayama
City/Ward/Town/Village
Seya-Ku Yokohama-Shi
Gotemba-Shi
Nanto-Shi
Midori-Ku Yokohama-Shi
Kanuma-Shi
Tokamachi-Shi
Uonuma-Shi
Fukuchiyama-Shi
Yawatahama-Shi
Asago-Shi
Saito-Shi
Yoshida-Cho Haibara-Gun
Komono-Cho Mie-Gun
Tatsuno-Machi Kamiina-Gun
Narashino-Shi
Sakaide-Shi
Izumiotsu-Shi
Tsubame-Shi
Tamano-Shi
Kisai-cho
Kuki-Shi
Yachiyo-Machi Yuki-Gun
Annaka-Shi
Hodogaya-Ku Yokohama-Shi
Ise-Shi
Tahara-Shi
Mitaka-Shi
Hekinan-Shi
Kamaishi-Shi
Matsuyama-Shi
Fushimi-Ku Kyoto-Shi
Saku-Shi
Satsuma-Cho Satsuma-Gun
Makinohara-Shi
Nagaokakyo-Shi
Suita-Shi
Honjo-Shi
Joso-Shi
Date-Shi
Aisai-Shi
Kami-Cho Mikata-Gun
Aira-cho
Chonan-Machi Chosei-Gun
Toyohira-Ku Sapporo-Shi
Higashimurayama-Shi
Chigasaki-Shi
Takeo-Shi
Tatsuno-Shi
Takatsuki-Shi
Joetsu-Shi
Sammu-Shi
Tanabe-Shi
80
Location
effect
0.274
0.274
0.272
0.271
0.270
0.269
0.268
0.267
0.267
0.265
0.261
0.260
0.259
0.255
0.253
0.252
0.251
0.250
0.249
0.248
0.245
0.245
0.244
0.243
0.242
0.239
0.239
0.239
0.238
0.238
0.236
0.234
0.231
0.229
0.228
0.228
0.227
0.226
0.225
0.224
0.224
0.224
0.224
0.223
0.223
0.223
0.222
0.219
0.219
0.218
0.216
0.215
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
State
Chiba
Hokkaido
Okinawa
Shizuoka
Osaka
Yamanashi
Saitama
Tokyo
Aichi
Hyogo
Aichi
Ehime
Aichi
Kyoto
Mie
Iwate
Gifu
Saitama
Gifu
Gifu
Mie
Aichi
Shiga
Saitama
Aomori
Kyoto
Ibaraki
Aichi
Miyagi
Gumma
Aichi
Toyama
Kanagawa
Nagano
Oita
Tokyo
Kumamoto
Saga
Aichi
Fukuoka
Hyogo
Fukui
Tokyo
Osaka
Ibaraki
Osaka
Nara
Shizuoka
Saitama
Gifu
Kanagawa
Kyoto
City/Ward/Town/Village
Asahi-Shi
Nishi-Ku Sapporo-Shi
Naha-Shi
Nagaizumi-Cho Sunto-Gun
Habikino-Shi
Nirasaki-Shi
Kazo-Shi
Inagi-Shi
Kitanagoya-Shi
Takarazuka-Shi
Nishi-Ku Nagoya-Shi
Toon-Shi
Gamagori-Shi
Nantan-Shi
Yokkaichi-Shi
Yahaba-Cho Shiwa-Gun
Ampachi-Cho Ampachi-Gun
Tokorozawa-Shi
Mizuho-Shi
Seki-Shi
Matsusaka-Shi
Minami-Ku Nagoya-Shi
Omihachiman-Shi
Toda-Shi
Mutsu-Shi
Yawata-Shi
Miho-Mura Inashiki-Gun
Kasuga-mura
Kakuda-Shi
Tatebayashi-Shi
Anjo-Shi
Imizu-Shi
Nakahara-Ku Kawasaki-Shi
Iida-Shi
Bungotakada-Shi
Katsushika-Ku
Kosa-Machi Kamimashiki-Gun
Kanzaki-Shi
Chikusa-Ku Nagoya-Shi
Chuo-Ku Fukuoka-Shi
Kita-Ku Kobe-Shi
Echizen-Shi
Mizuho-Machi Nishitama-Gun
Matsubara-Shi
Hitachinaka-Shi
Miyakojima-Ku Osaka-Shi
Kashihara-Shi
Fujieda-Shi
Yoshikawa-Shi
Kaizu-Shi
Totsuka-Ku Yokohama-Shi
Minami-Ku Kyoto-Shi
81
Location
effect
0.215
0.214
0.213
0.211
0.211
0.206
0.205
0.205
0.204
0.204
0.203
0.203
0.200
0.197
0.196
0.195
0.193
0.192
0.192
0.192
0.191
0.190
0.190
0.187
0.186
0.186
0.186
0.186
0.185
0.184
0.184
0.183
0.183
0.182
0.182
0.181
0.181
0.179
0.179
0.178
0.178
0.177
0.177
0.176
0.174
0.173
0.173
0.173
0.172
0.172
0.170
0.170
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
State
Fukuoka
Mie
Tokyo
Kyoto
Nagano
Kanagawa
Kumamoto
Tokyo
Hyogo
Fukushima
Hyogo
Shizuoka
Hyogo
Nagasaki
Aichi
Tokyo
Okayama
Shiga
Shiga
Ishikawa
Chiba
Tokyo
Akita
Kumamoto
Aichi
Miyagi
Miyagi
Hyogo
Kyoto
Shizuoka
Hyogo
Fukuoka
Saitama
Ehime
Aichi
Gumma
Ibaraki
Saitama
Tochigi
Saitama
Tokyo
Tokyo
Tokyo
Saitama
Kumamoto
Saitama
Hyogo
Hokkaido
Fukuoka
Fukuoka
Saitama
Saitama
City/Ward/Town/Village
Yahatanishi-Ku Kitakyushu-Shi
Suzuka-Shi
Shinagawa-Ku
Kyotamba-Cho Funai-Gun
Ueda-Shi
Ebina-Shi
Yamaga-Shi
Tachikawa-Shi
Shinonsen-Cho Mikata-Gun
Motomiya-Shi
Ono-Shi
Mishima-Shi
Takasago-Shi
Sasebo-Shi
Inuyama-Shi
Nerima-Ku
Kurashiki-Shi
Ritto-Shi
Moriyama-Shi
Hodatsushimizu-Cho Hakui-Gun
Kashiwa-Shi
Hachioji-Shi
Yuzawa-Shi
Nishihara-Mura Aso-Gun
Handa-Shi
Osaki-Shi
Taiwa-Cho Kurokawa-Gun
Tamba-Shi
Kumiyama-Cho Kuse-Gun
Kikugawa-Shi
Miki-Shi
Chikushino-Shi
Kawagoe-Shi
Imabari-Shi
Nishio-Shi
Isesaki-Shi
Hitachiota-Shi
Kawaguchi-Shi
Shimotsuke-Shi
Sugito-Machi Kitakatsushika-Gun
Machida-Shi
Musashimurayama-Shi
Chuo-Ku
Kasukabe-Shi
Ueki-cho
Hasuda-Shi
Itami-Shi
Ishikari-Shi
Asakura-Shi
Omuta-Shi
Hanyu-Shi
Higashimatsuyama-Shi
82
Location
effect
0.170
0.170
0.169
0.169
0.168
0.168
0.167
0.166
0.165
0.165
0.164
0.164
0.164
0.163
0.163
0.163
0.163
0.162
0.161
0.161
0.160
0.159
0.159
0.159
0.159
0.157
0.157
0.157
0.156
0.156
0.156
0.155
0.155
0.155
0.155
0.154
0.154
0.153
0.153
0.153
0.152
0.152
0.152
0.151
0.150
0.150
0.149
0.149
0.149
0.149
0.148
0.148
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
State
Tokyo
Ibaraki
Kagawa
Okayama
Nara
Saitama
Aichi
Iwate
Chiba
Kumamoto
Saitama
Saitama
Tokyo
Aichi
Tochigi
Okayama
Osaka
Tochigi
Saitama
Hokkaido
Aomori
Miyagi
Tokyo
Hyogo
Tokyo
Tokyo
Gumma
Yamagata
Mie
Hyogo
Tochigi
Shizuoka
Yamagata
Osaka
Gumma
Osaka
Shizuoka
Fukuoka
Fukuoka
Saitama
Aichi
Hokkaido
Nagasaki
Hyogo
Tokyo
Kagoshima
Saga
Saitama
Osaka
Kanagawa
Fukuoka
Nagasaki
City/Ward/Town/Village
Hamura-Shi
Goka-Machi Sashima-Gun
Tadotsu-Cho Nakatado-Gun
Tsuyama-Shi
Yamatokoriyama-Shi
Ina-Machi Kitaadachi-Gun
Kiyosu-Shi
Morioka-Shi
Matsudo-Shi
Uki-Shi
Iruma-Shi
Yoshimi-Machi Hiki-Gun
Toshima-Ku
Jimokuji-cho
Nikko-Shi
Satosho-Cho Asakuchi-Gun
Higashinari-Ku Osaka-Shi
Ashikaga-Shi
Miyoshi-Machi Iruma-Gun
Eniwa-Shi
Misawa-Shi
Rifu-Cho Miyagi-Gun
Higashikurume-Shi
Akashi-Shi
Nakano-Ku
Sumida-Ku
Fujioka-Shi
Oe-Machi Nishimurayama-Gun
Iga-Shi
Nishinomiya-Shi
Sano-Shi
Kakegawa-Shi
Tsuruoka-Shi
Kishiwada-Shi
Ota-Shi
Sakai
Susono-Shi
Kokurakita-Ku Kitakyushu-Shi
Kasuya-Machi Kasuya-Gun
Wako-Shi
Inazawa-Shi
Iwamizawa-Shi
Unzen-Shi
Sanda-Shi
Hino-Shi
Makurazaki-Shi
Karatsu-Shi
Warabi-Shi
Hirano-Ku Osaka-Shi
Kawasaki-Ku Kawasaki-Shi
Yame-Shi
Nagasaki-Shi
83
Location
effect
0.148
0.146
0.146
0.146
0.144
0.144
0.143
0.141
0.141
0.139
0.138
0.138
0.138
0.138
0.137
0.136
0.134
0.134
0.134
0.133
0.133
0.133
0.133
0.132
0.132
0.131
0.131
0.131
0.130
0.130
0.130
0.130
0.130
0.129
0.129
0.129
0.129
0.128
0.128
0.127
0.126
0.125
0.124
0.124
0.122
0.122
0.121
0.121
0.121
0.121
0.120
0.120
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
State
Shizuoka
Miyazaki
Hiroshima
Hyogo
Saga
Chiba
Tochigi
Ibaraki
Miyagi
Ehime
Tokyo
Ibaraki
Tokushima
Tokyo
Mie
Aomori
Kyoto
Iwate
Tokyo
Aomori
Shizuoka
Nagano
Toyama
Ibaraki
Kyoto
Kanagawa
Okinawa
Nagano
Nagasaki
Tottori
Miyagi
Chiba
Gumma
Aichi
Ishikawa
Hiroshima
Kagoshima
Kanagawa
Hokkaido
Gumma
Gifu
Fukuoka
Hiroshima
Saga
Iwate
Hokkaido
Gumma
Fukuoka
Tochigi
Hyogo
Toyama
Saitama
City/Ward/Town/Village
Iwata-Shi
Shintomi-Cho Koyu-Gun
Onomichi-Shi
Tarumi-Ku Kobe-Shi
Kiyama-Cho Miyaki-Gun
Katori-Shi
Nasushiobara-Shi
Koga-Shi
Shibata-Machi Shibata-Gun
Uwajima-Shi
Fussa-Shi
Kamisu-Shi
Awa-Shi
Bunkyo-Ku
Nabari-Shi
Gonohe-Machi Sannohe-Gun
Yamashina-Ku Kyoto-Shi
Karumai-Machi Kunohe-Gun
Minato-Ku
Kuroishi-Shi
Oyama-Cho Sunto-Gun
Matsumoto-Shi
Tonami-Shi
Kasumigaura-Shi
Nakagyo-Ku Kyoto-Shi
Atsugi-Shi
Urasoe-Shi
Nakano-Shi
Matsura-Shi
Hokuei-Cho Tohaku-Gun
Shiogama-Shi
Chiba
Shibukawa-Shi
Tobishima-Mura Ama-Gun
Hakui-Shi
Fukuyama-Shi
Kagoshima-Shi
Isehara-Shi
Tomakomai-Shi
Takasaki-Shi
Gifu-Shi
Munakata-Shi
Minami-Ku Hiroshima-Shi
Yoshinogari-Cho Kanzaki-Gun
Ichinoseki-Shi
Hokuto-Shi
Meiwa-Machi Ora-Gun
Shime-Machi Kasuya-Gun
Oyama-Shi
Nishiwaki-Shi
Takaoka-Shi
Konosu-Shi
84
Location
effect
0.120
0.120
0.120
0.119
0.119
0.119
0.119
0.118
0.118
0.117
0.117
0.116
0.116
0.116
0.116
0.116
0.116
0.115
0.115
0.114
0.114
0.113
0.112
0.112
0.111
0.111
0.111
0.110
0.110
0.110
0.110
0.109
0.108
0.108
0.108
0.107
0.107
0.106
0.105
0.105
0.104
0.104
0.103
0.103
0.103
0.103
0.102
0.102
0.102
0.102
0.101
0.100
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
State
Kagoshima
Gumma
Ishikawa
Gumma
Osaka
Miyagi
Hyogo
Tochigi
Miyagi
Kanagawa
Hiroshima
Kanagawa
Chiba
Toyama
Mie
Aichi
Fukuoka
Osaka
Osaka
Hyogo
Nagano
Fukushima
Niigata
Ehime
Kochi
Okinawa
Tokyo
Tokushima
Chiba
Kyoto
Osaka
Kagoshima
Osaka
Aichi
Gumma
Gumma
Yamaguchi
Hyogo
Saitama
Aichi
Saitama
Osaka
Saitama
Kanagawa
Hokkaido
Tokushima
Aichi
Tokyo
Osaka
Saitama
Ibaraki
Tokyo
City/Ward/Town/Village
Izumi-Shi
Maebashi-Shi
Hakusan-Shi
Midori-Shi
Nishinari-Ku Osaka-Shi
Kesennuma-Shi
Nada-Ku Kobe-Shi
Tochigi-Shi
Kurihara-Shi
Zama-Shi
Nishi-Ku Hiroshima-Shi
Takatsu-Ku Kawasaki-Shi
Funabashi-Shi
Toyama-Shi
Tsu-Shi
Kozakai-cho
Kurume-Shi
Yao-Shi
Toyonaka-Shi
Amagasaki-Shi
Nagano-Shi
Nishiaizu-Machi Yama-Gun
Nagaoka-Shi
Niihama-Shi
Kami-Shi
Nishihara-Cho Nakagami-Gun
Tama-Shi
Anan-Shi
Ichikawa-Shi
Ukyo-Ku Kyoto-Shi
Neyagawa-Shi
Minamisatsuma-Shi
Tsurumi-Ku Osaka-Shi
Kariya-Shi
Oizumi-Machi Ora-Gun
Tamamura-Machi Sawa-Gun
Shimonoseki-Shi
Sumoto-Shi
Kawajima-Machi Hiki-Gun
Obu-Shi
Niiza-Shi
Hirakata-Shi
Gyoda-Shi
Hadano-Shi
Obihiro-Shi
Mima-Shi
Toyota-Shi
Kita-Ku
Asahi-Ku Osaka-Shi
Tsurugashima-Shi
Tsukuba-Shi
Suginami-Ku
85
Location
effect
0.100
0.098
0.098
0.097
0.096
0.096
0.095
0.095
0.095
0.094
0.094
0.093
0.093
0.093
0.093
0.093
0.093
0.093
0.092
0.092
0.091
0.091
0.090
0.089
0.089
0.088
0.088
0.088
0.088
0.088
0.087
0.086
0.086
0.086
0.085
0.085
0.085
0.085
0.084
0.084
0.084
0.084
0.083
0.082
0.082
0.082
0.082
0.082
0.080
0.080
0.080
0.079
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
State
Miyagi
Aichi
Kanagawa
Kanagawa
Kagawa
Okayama
Fukuoka
Nagano
Nara
Fukui
Fukuoka
Hokkaido
Kanagawa
Okayama
Osaka
Tokyo
Kanagawa
Chiba
Shizuoka
Shizuoka
Ehime
Gifu
Aomori
Tokyo
Aomori
Nagano
Osaka
Saitama
Aichi
Hokkaido
Chiba
Iwate
Hokkaido
Osaka
Chiba
Osaka
Fukui
Kyoto
Iwate
Hokkaido
Tochigi
Fukui
Hiroshima
Kyoto
Nagasaki
Iwate
Gumma
Aomori
Kanagawa
Aomori
Okayama
Shizuoka
City/Ward/Town/Village
Shiroishi-Shi
Kasugai-Shi
Samukawa-Machi Koza-Gun
Yamato-Shi
Mitoyo-Shi
Okayama
Fukutsu-Shi
Suwa-Shi
Nara-Shi
Fukui-Shi
Kokuraminami-Ku Kitakyushu-Shi
Mori-Machi Kayabe-Gun
Hiratsuka-Shi
Maniwa-Shi
Tondabayashi-Shi
Chiyoda-Ku
Kohoku-Ku Yokohama-Shi
Yokoshibahikari-Machi Sambu-Gun
Fuji-Shi
Fukuroi-Shi
Tobe-Cho Iyo-Gun
Tarui-Cho Fuwa-Gun
Towada-Shi
Ota-Ku
Hirakawa-Shi
Ina-Shi
Nishiyodogawa-Ku Osaka-Shi
Saitama
Higashi-Ku Nagoya-Shi
Kitami-Shi
Noda-Shi
Hachimantai-Shi
Chuo-Ku Sapporo-Shi
Ibaraki-Shi
Kamagaya-Shi
Tadaoka-Cho Semboku-Gun
Awara-Shi
Uji-Shi
Yamada-Machi Shimohei-Gun
Hakodate-Shi
Moka-Shi
Katsuyama-Shi
Naka-Ku Hiroshima-Shi
Ujitawara-Cho Tsuzuki-Gun
Isahaya-Shi
Takizawa-Mura Iwate-Gun
Kiryu-Shi
Takko-Machi Sannohe-Gun
Asahi-Ku Yokohama-Shi
Sannohe-Machi Sannohe-Gun
Setochi-Shi
Shimada-Shi
86
Location
effect
0.079
0.078
0.078
0.078
0.077
0.077
0.076
0.075
0.075
0.074
0.074
0.073
0.073
0.072
0.072
0.072
0.072
0.072
0.072
0.072
0.072
0.071
0.071
0.071
0.070
0.070
0.070
0.070
0.069
0.068
0.067
0.066
0.066
0.065
0.065
0.065
0.064
0.064
0.064
0.064
0.063
0.063
0.063
0.062
0.062
0.061
0.061
0.061
0.060
0.060
0.060
0.060
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
State
Kanagawa
Hokkaido
Aichi
Kumamoto
Fukushima
Saitama
Aomori
Osaka
Okayama
Yamagata
Ibaraki
Hokkaido
Fukushima
Saitama
Ehime
Gifu
Tochigi
Aichi
Aichi
Aichi
Iwate
Chiba
Iwate
Kagoshima
Shiga
Fukuoka
Aichi
Saitama
Shiga
Nagasaki
Akita
Tokyo
Miyazaki
Shizuoka
Kanagawa
Tochigi
Saitama
Kanagawa
Wakayama
Yamanashi
Saga
Gifu
Ibaraki
Kanagawa
Tokyo
Nagasaki
Osaka
Tokyo
Hyogo
Saitama
Kanagawa
Chiba
City/Ward/Town/Village
Fujisawa-Shi
Otaru-Shi
Toyohashi-Shi
Yatsushiro-Shi
Aizuwakamatsu-Shi
Kamisato-Machi Kodama-Gun
Nambu-Cho Sannohe-Gun
Joto-Ku Osaka-Shi
Kasaoka-Shi
Kaminoyama-Shi
Chikusei-Shi
Memuro-Cho Kasai-Gun
Fukushima-Shi
Koshigaya-Shi
Shikokuchuo-Shi
Kasamatsu-Cho Hashima-Gun
Ohira-cho
Minato-Ku Nagoya-Shi
Konan-Shi
Tokai-Shi
Kuzumaki-Machi Iwate-Gun
Yachiyo-Shi
Ichinohe-Machi Ninohe-Gun
Gamo-cho
Ryuo-Cho Gamo-Gun
Onojo-Shi
Oguchi-Cho Niwa-Gun
Ageo-Shi
Kusatsu-Shi
Minamishimabara-Shi
Kazuno-Shi
Koto-Ku
Kobayashi-Shi
Hamamatsu
Aikawa-Machi Aiko-Gun
Mibu-Machi Shimotsuga-Gun
Soka-Shi
Kanagawa-Ku Yokohama-Shi
Katsuragi-Cho Ito-Gun
Kai-Shi
Kashima-Shi
Godo-Cho Ampachi-Gun
Tsuchiura-Shi
Minami-Ku Yokohama-Shi
Itabashi-Ku
Kawatana-Cho Higashisonogi-Gun
Taisho-Ku Osaka-Shi
Shinjuku-Ku
Hyogo-Ku Kobe-Shi
Sayama-Shi
Sagamihara
Tomisato-Shi
87
Location
effect
0.060
0.059
0.059
0.058
0.056
0.055
0.055
0.054
0.054
0.053
0.053
0.052
0.051
0.051
0.050
0.050
0.050
0.049
0.049
0.049
0.047
0.047
0.047
0.046
0.045
0.045
0.045
0.044
0.044
0.043
0.043
0.043
0.043
0.043
0.043
0.041
0.041
0.040
0.040
0.040
0.040
0.040
0.039
0.039
0.039
0.038
0.036
0.036
0.036
0.035
0.035
0.035
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
State
Tokyo
Hyogo
Kyoto
Yamaguchi
Ibaraki
Yamanashi
Tochigi
Yamagata
Kagoshima
Gifu
Shizuoka
Ibaraki
Niigata
Kochi
Saga
Shiga
Niigata
Tokushima
Gumma
Shiga
Aichi
Osaka
Kumamoto
Osaka
Fukushima
Kagawa
Aichi
Miyagi
Saitama
Miyazaki
Aichi
Hyogo
Fukuoka
Hokkaido
Hiroshima
Toyama
Fukushima
Chiba
Iwate
Hyogo
Tokushima
Fukushima
Toyama
Aichi
Kochi
Gifu
Aichi
Fukuoka
Shiga
Kagoshima
Tottori
Tokyo
City/Ward/Town/Village
Akishima-Shi
Higashinada-Ku Kobe-Shi
Joyo-Shi
Suooshima-Cho Oshima-Gun
Bando-Shi
Fujiyoshida-Shi
Utsunomiya-Shi
Tendo-Shi
Tarumizu-Shi
Tajimi-Shi
Numazu-Shi
Namegata-Shi
Mitsuke-Shi
Otoyo-Cho Nagaoka-Gun
Tosu-Shi
Higashiomi-Shi
Agano-Shi
Tokushima-Shi
Tomioka-Shi
Nagahama-Shi
Okazaki-Shi
Kadoma-Shi
Amakusa-Shi
Kaizuka-Shi
Sukagawa-Shi
Sanuki-Shi
Toyokawa-Shi
Onagawa-Cho Oshika-Gun
Asaka-Shi
Kawaminami-Cho Koyu-Gun
Taketoyo-Cho Chita-Gun
Nagata-Ku Kobe-Shi
Iizuka-Shi
Betsukai-Cho Notsuke-Gun
Miyoshi-Shi
Uozu-Shi
Koriyama-Shi
Sakura-Shi
Hanamaki-Shi
Kato-Shi
Naruto-Shi
Date-Shi
Kurobe-Shi
Moriyama-Ku Nagoya-Shi
Nankoku-Shi
Hashima-Shi
Chita-Shi
Koga-Shi
Koka-Shi
So-Shi
Kurayoshi-Shi
Arakawa-Ku
88
Location
effect
0.035
0.034
0.034
0.034
0.033
0.033
0.033
0.032
0.032
0.031
0.031
0.030
0.030
0.029
0.029
0.029
0.028
0.028
0.028
0.028
0.028
0.027
0.027
0.026
0.025
0.025
0.024
0.024
0.024
0.024
0.023
0.023
0.023
0.022
0.022
0.022
0.020
0.020
0.020
0.020
0.020
0.019
0.018
0.018
0.017
0.017
0.016
0.015
0.015
0.015
0.014
0.014
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
State
Hyogo
Aichi
Fukuoka
Hyogo
Oita
Akita
Niigata
Kanagawa
Hiroshima
Tochigi
Miyazaki
Gifu
Ibaraki
Shizuoka
Kagawa
Aichi
Nagasaki
Fukuoka
Miyagi
Aichi
Fukuoka
Ibaraki
Iwate
Chiba
Niigata
Tokyo
Wakayama
Ehime
Kumamoto
Tokyo
Ishikawa
Kagoshima
Hokkaido
Aomori
Kagawa
Osaka
Ishikawa
Gifu
Fukushima
Osaka
Tokyo
Niigata
Fukuoka
Tokyo
Miyagi
Kagoshima
Kagoshima
Fukuoka
Ibaraki
Nagano
Ehime
Kumamoto
City/Ward/Town/Village
Inami-Cho Kako-Gun
Chiryu-Shi
Moji-Ku Kitakyushu-Shi
Kakogawa-Shi
Oita-Shi
Yurihonjo-Shi
Minamiuonuma-Shi
Yokosuka-Shi
Higashihiroshima-Shi
Sakura-Shi
Miyakonojo-Shi
Ikeda-Cho Ibi-Gun
Omitama-Shi
Shizuoka
Zentsuji-Shi
Atsuta-Ku Nagoya-Shi
Shimabara-Shi
Shingu-Machi Kasuya-Gun
Ishinomaki-Shi
Midori-Ku Nagoya-Shi
Minami-Ku Fukuoka-Shi
Shimotsuma-Shi
Oshu-Shi
Yachimata-Shi
Niigata
Komae-Shi
Wakayama-Shi
Masaki-Cho Iyo-Gun
Kikuchi-Shi
Nishitokyo-Shi
Noto-Cho Hosu-Gun
Satsumasendai-Shi
Shiroishi-Ku Sapporo-Shi
Oirase-Cho Kamikita-Gun
Kanonji-Shi
Higashiosaka-Shi
Kaga-Shi
Ogaki-Shi
Kitakata-Shi
Kita-Ku Osaka-Shi
Fuchu-Shi
Sanjo-Shi
Higashi-Ku Fukuoka-Shi
Adachi-Ku
Iwanuma-Shi
Akune-Shi
Shibushi-Shi
Tagawa-Shi
Mito-Shi
Azumino-Shi
Saijo-Shi
Koshi-Shi
89
Location
effect
0.014
0.013
0.013
0.012
0.012
0.012
0.012
0.011
0.011
0.010
0.009
0.009
0.009
0.008
0.007
0.007
0.006
0.005
0.005
0.003
0.003
0.001
0.001
0.001
0.000
0.000
-0.001
-0.003
-0.003
-0.004
-0.004
-0.004
-0.005
-0.006
-0.006
-0.006
-0.007
-0.008
-0.008
-0.008
-0.008
-0.008
-0.009
-0.009
-0.010
-0.010
-0.010
-0.010
-0.011
-0.011
-0.011
-0.012
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
State
Shiga
Chiba
Ibaraki
Tokyo
Iwate
Kanagawa
Kyoto
Yamagata
Kagawa
Akita
Hokkaido
Ibaraki
Iwate
Oita
Shizuoka
Ishikawa
Yamagata
Osaka
Hokkaido
Hokkaido
Kagoshima
Hiroshima
Hokkaido
Miyagi
Fukui
Miyagi
Nara
Osaka
Osaka
Miyazaki
Shiga
Chiba
Saitama
Saitama
Hokkaido
Gifu
Saga
Yamagata
Kagoshima
Tokyo
Tokyo
Toyama
Hyogo
Hiroshima
Osaka
Aichi
Toyama
Ibaraki
Hiroshima
Miyazaki
Saitama
Fukushima
City/Ward/Town/Village
Otsu-Shi
Tateyama-Shi
Ryugasaki-Shi
Edogawa-Ku
Tono-Shi
Tsurumi-Ku Yokohama-Shi
Kamigyo-Ku Kyoto-Shi
Shirataka-Machi Nishiokitama-Gun
Utazu-Cho Ayauta-Gun
Yokote-Shi
Ebetsu-Shi
Yuki-Shi
Ofunato-Shi
Hita-Shi
Yaizu-Shi
Suzu-Shi
Yamagata-Shi
Naniwa-Ku Osaka-Shi
Chitose-Shi
Kitahiroshima-Shi
Ichikikushikino-Shi
Asakita-Ku Hiroshima-Shi
Kushiro-Shi
Sendai
Ono-Shi
Tagajo-Shi
Gojo-Shi
Nishi-Ku Osaka-Shi
Settsu-Shi
Hyuga-Shi
Konan-Shi
Sodegaura-Shi
Kamikawa-Machi Kodama-Gun
Yashio-Shi
Otofuke-Cho Kato-Gun
Kakamigahara-Shi
Ogi-Shi
Sakata-Shi
Osaki-Cho So-Gun
Setagaya-Ku
Shibuya-Ku
Oyabe-Shi
Minamiawaji-Shi
Akitakata-Shi
Fukushima-Ku Osaka-Shi
Nagakute-Cho Aichi-Gun
Kamiichi-Machi Nakaniikawa-Gun
Moriya-Shi
Hatsukaichi-Shi
Nobeoka-Shi
Hidaka-Shi
Soma-Shi
90
Location
effect
-0.012
-0.012
-0.012
-0.012
-0.012
-0.013
-0.013
-0.013
-0.014
-0.014
-0.014
-0.015
-0.017
-0.017
-0.017
-0.017
-0.017
-0.018
-0.019
-0.019
-0.020
-0.023
-0.023
-0.023
-0.023
-0.023
-0.024
-0.024
-0.024
-0.025
-0.026
-0.027
-0.027
-0.027
-0.028
-0.028
-0.028
-0.030
-0.030
-0.032
-0.032
-0.032
-0.033
-0.033
-0.034
-0.034
-0.034
-0.035
-0.035
-0.036
-0.038
-0.038
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
State
Aomori
Nagasaki
Gifu
Kagoshima
Hokkaido
Kyoto
Kumamoto
Saga
Fukuoka
Fukuoka
Fukui
Osaka
Ibaraki
Yamaguchi
Kagoshima
Yamagata
Kagawa
Hokkaido
Chiba
Iwate
Osaka
Yamanashi
Aichi
Niigata
Ishikawa
Osaka
Fukuoka
Saga
Osaka
Osaka
Ishikawa
Saitama
Kagawa
Osaka
Kanagawa
Yamagata
Shimane
Aichi
Yamaguchi
Kanagawa
Iwate
Tokushima
Yamanashi
Yamanashi
Kyoto
Aichi
Okayama
Ibaraki
Hokkaido
Kumamoto
Hiroshima
Gifu
City/Ward/Town/Village
Hachinohe-Shi
Hirado-Shi
Motosu-Shi
Kanoya-Shi
Shiraoi-Cho Shiraoi-Gun
Kameoka-Shi
Kumamoto-Shi
Taku-Shi
Chikuzen-Machi Asakura-Gun
Tobata-Ku Kitakyushu-Shi
Sakai-Shi
Izumisano-Shi
Ushiku-Shi
Iwakuni-Shi
Kirishima-Shi
Nanyo-Shi
Ayagawa-Cho Ayauta-Gun
Wakkanai-Shi
Ichihara-Shi
Ninohe-Shi
Tennoji-Ku Osaka-Shi
Kofu-Shi
Nakagawa-Ku Nagoya-Shi
Seiro-Machi Kitakambara-Gun
Nakanoto-Machi Kashima-Gun
Chuo-Ku Osaka-Shi
Miyama-Shi
Saga-Shi
Ikuno-Ku Osaka-Shi
Kashiwara-Shi
Komatsu-Shi
Okegawa-Shi
Marugame-Shi
Yodogawa-Ku Osaka-Shi
Naka-Ku Yokohama-Shi
Higashine-Shi
Yasugi-Shi
Ichinomiya-Shi
Yamaguchi-Shi
Kanazawa-Ku Yokohama-Shi
Kuji-Shi
Higashimiyoshi-Cho Miyoshi-Gun
Minamiarupusu-Shi
Chuo-Shi
Kyotango-Shi
Mizuho-Ku Nagoya-Shi
Akaiwa-Shi
Inashiki-Shi
Sunagawa-Shi
Tamana-Shi
Mihara-Shi
Ginan-Cho Hashima-Gun
91
Location
effect
-0.039
-0.039
-0.039
-0.040
-0.040
-0.040
-0.040
-0.040
-0.041
-0.041
-0.044
-0.046
-0.046
-0.047
-0.048
-0.048
-0.049
-0.050
-0.050
-0.050
-0.051
-0.051
-0.053
-0.054
-0.055
-0.055
-0.056
-0.057
-0.057
-0.058
-0.058
-0.059
-0.059
-0.060
-0.060
-0.061
-0.062
-0.063
-0.063
-0.063
-0.064
-0.064
-0.064
-0.065
-0.065
-0.066
-0.068
-0.068
-0.069
-0.069
-0.069
-0.069
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
State
Aomori
Yamaguchi
Akita
Kagoshima
Saitama
Ibaraki
Yamagata
Hyogo
Osaka
Hyogo
Okayama
Yamagata
Ibaraki
Aomori
Tokushima
Oita
Osaka
Hiroshima
Yamagata
Miyagi
Ibaraki
Hiroshima
Kagoshima
Aichi
Yamanashi
Osaka
Saitama
Iwate
Chiba
Fukuoka
Miyazaki
Aichi
Ishikawa
Shiga
Hiroshima
Nagano
Kyoto
Kumamoto
Aichi
Okayama
Oita
Ibaraki
Tottori
Saitama
Akita
Kochi
Miyazaki
Hokkaido
Hokkaido
Tottori
Osaka
Shiga
City/Ward/Town/Village
Hirosaki-Shi
Hofu-Shi
Akita-Shi
Minamikyushu-Shi
Fukaya-Shi
Hitachi-Shi
Murayama-Shi
Himeji-Shi
Daito-Shi
Toyoka-Shi
Asakuchi-Shi
Yonezawa-Shi
Kasama-Shi
Aomori-Shi
Ishii-Cho Myozai-Gun
Kunisaki-Shi
Moriguchi-Shi
Kure-Shi
Shinjo-Shi
Natori-Shi
Ami-Machi Inashiki-Gun
Asaminami-Ku Hiroshima-Shi
Hioki-Shi
Kita-Ku Nagoya-Shi
Masuho-cho
Higashisumiyoshi-Ku Osaka-Shi
Kumagaya-Shi
Kitakami-Shi
Tako-Machi Katori-Gun
Hirokawa-Machi Yame-Gun
Mimata-Cho Kitamorokata-Gun
Fuso-Cho Niwa-Gun
Nomi-Shi
Hikone-Shi
Saeki-Ku Hiroshima-Shi
Shiojiri-Shi
Kita-Ku Kyoto-Shi
Mashiki-Machi Kamimashiki-Gun
Tsushima-Shi
Soja-Shi
Nakatsu-Shi
Ishioka-Shi
Yonago-Shi
Sakado-Shi
Daisen-Shi
Konan-Shi
Miyazaki-Shi
Nemuro-Shi
Abashiri-Shi
Sakaiminato-Shi
Izumi-Shi
Aisho-Cho Echi-Gun
92
Location
effect
-0.069
-0.070
-0.070
-0.070
-0.071
-0.071
-0.071
-0.072
-0.072
-0.072
-0.073
-0.074
-0.074
-0.080
-0.080
-0.080
-0.080
-0.081
-0.082
-0.083
-0.083
-0.084
-0.084
-0.084
-0.088
-0.092
-0.093
-0.093
-0.095
-0.095
-0.096
-0.096
-0.098
-0.104
-0.105
-0.106
-0.108
-0.109
-0.109
-0.109
-0.110
-0.110
-0.112
-0.114
-0.114
-0.115
-0.115
-0.116
-0.116
-0.116
-0.117
-0.117
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
State
Fukuoka
Fukuoka
Hyogo
Miyagi
Saga
Shizuoka
Fukuoka
Okinawa
Yamagata
Iwate
Hokkaido
Hokkaido
Kagawa
Kagoshima
Tottori
Hokkaido
Hokkaido
Fukui
Nagasaki
Yamagata
Ishikawa
Hokkaido
Fukushima
Saitama
Tottori
Aomori
Fukushima
Gifu
Gifu
Tottori
Kumamoto
Shiga
Oita
Kochi
Aichi
Kyoto
Aichi
Wakayama
Akita
Tokushima
Shizuoka
Nagano
Saitama
Saitama
Hyogo
Ishikawa
Tokushima
Yamanashi
Chiba
Yamagata
Kumamoto
Kanagawa
Location
effect
Yanagawa-Shi
-0.118
Hakata-Ku Fukuoka-Shi
-0.118
Chuo-Ku Kobe-Shi
-0.118
Kawasaki-Machi Shibata-Gun
-0.118
Imari-Shi
-0.119
Fujinomiya-Shi
-0.123
Chikugo-Shi
-0.124
Miyakojima-Shi
-0.124
Takahata-Machi Higashiokitama-Gun
-0.124
Otsuchi-Cho Kamihei-Gun
-0.125
Mombetsu-Shi
-0.125
Shiranuka-Cho Shiranuka-Gun
-0.127
Higashikagawa-Shi
-0.127
Ibusuki-Shi
-0.127
Nambu-Cho Saihaku-Gun
-0.128
Asahikawa-Shi
-0.131
Bihoro-Cho Abashiri-Gun
-0.131
Sabae-Shi
-0.132
Omura-Shi
-0.134
Sagae-Shi
-0.135
Nanao-Shi
-0.137
Nanae-Cho Kameda-Gun
-0.138
Nihommatsu-Shi
-0.138
Satte-Shi
-0.138
Kotora-Cho Tohaku-Gun
-0.139
Tsugaru-Shi
-0.140
Iwaki-Shi
-0.145
Shirakawa-Cho Kamo-Gun
-0.145
Ibigawa-Cho Ibi-Gun
-0.145
Tottori-Shi
-0.148
Kikuyo-Machi Kikuchi-Gun
-0.149
Hino-Cho Gamo-Gun
-0.153
Saiki-Shi
-0.154
Shimanto-Shi
-0.159
Naka-Ku Nagoya-Shi
-0.163
Shimogyo-Ku Kyoto-Shi
-0.163
Tempaku-Ku Nagoya-Shi
-0.165
Iwade-Shi
-0.165
Odate-Shi
-0.166
Matsushige-Cho Itano-Gun
-0.171
Arai-cho
-0.174
Chikuma-Shi
-0.176
Ranzan-Machi Hiki-Gun
-0.176
Otone-cho
-0.177
Kasai-Shi
-0.178
Nonoichi-Machi Ishikawa-Gun
-0.178
Yoshinogawa-Shi
-0.181
Hokuto-Shi
-0.182
Yotsukaido-Shi
-0.183
Yamanobe-Machi Higashimurayama-Gun
-0.186
Taragi-Machi Kuma-Gun
-0.186
Konan-Ku Yokohama-Shi
-0.189
City/Ward/Town/Village
93
Industry Ranking
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
State
Kanagawa
Kochi
Fukushima
Ishikawa
Kochi
Kagawa
Saitama
Kumamoto
Hokkaido
Fukushima
Aomori
Miyagi
Tochigi
Osaka
Oita
Wakayama
Hokkaido
Nara
Kyoto
Hokkaido
Shimane
Kyoto
Okayama
Yamaguchi
Shimane
Oita
Osaka
Shimane
Gumma
Kumamoto
Kumamoto
Yamanashi
Shimane
Oita
Kumamoto
Nagano
Oita
Osaka
Shimane
Miyagi
Gifu
Iwate
Yamaguchi
Miyagi
Saitama
Yamaguchi
Shimane
Niigata
Saitama
Osaka
Hokkaido
Iwate
City/Ward/Town/Village
Kamakura-Shi
Kuroshio-Cho Hata-Gun
Namie-Machi Futaba-Gun
Shika-Machi Hakui-Gun
Tosa-Shi
Takamatsu-Shi
Moroyama-Machi Iruma-Gun
Jonan-cho
Minami-Ku Sapporo-Shi
Kawamata-Machi Date-Gun
Yokohama-Machi Kamikita-Gun
Kami-Machi Kami-Gun
Nasukarasuyama-Shi
Suminoe-Ku Osaka-Shi
Usuki-Shi
Hidakagawa-Cho Hidaka-Gun
Mikasa-Shi
Sakurai-Shi
Ayabe-Shi
Kita-Ku Sapporo-Shi
Hikawa-Cho Hikawa-Gun
Sakyo-Ku Kyoto-Shi
Mimasaka-Shi
Nagato-Shi
Izumo-Shi
Usa-Shi
Sumiyoshi-Ku Osaka-Shi
Matsue-Shi
Numata-Shi
Arao-Shi
Ozu-Machi Kikuchi-Gun
Koshu-Shi
Oda-Shi
Bungoono-Shi
Nagomi-Machi Tamana-Gun
Chino-Shi
Yufu-Shi
Abeno-Ku Osaka-Shi
Hamada-Shi
Tome-Shi
Takayama-Shi
Rikuzentakata-Shi
Hikari-Shi
Watari-Cho Watari-Gun
Chichibu-Shi
Mine-Shi
Unnan-Shi
Itoigawa-Shi
Kitamoto-Shi
Takaishi-Shi
Rumoi-Shi
Sumita-Cho Kesen-Gun
94
Location
effect
-0.192
-0.194
-0.197
-0.197
-0.198
-0.198
-0.201
-0.204
-0.204
-0.205
-0.206
-0.208
-0.208
-0.210
-0.213
-0.214
-0.214
-0.215
-0.216
-0.216
-0.218
-0.220
-0.221
-0.224
-0.231
-0.232
-0.235
-0.241
-0.241
-0.241
-0.243
-0.252
-0.256
-0.260
-0.261
-0.261
-0.264
-0.266
-0.266
-0.271
-0.273
-0.275
-0.277
-0.278
-0.284
-0.285
-0.288
-0.298
-0.304
-0.309
-0.309
-0.313
Location
effect
6
853 Yamaguchi Ube-Shi
-0.316
6
854 Tochigi
Otawara-Shi
-0.335
6
855 Saitama
Namegawa-Machi Hiki-Gun
-0.338
6
856 Aichi
Seto-Shi
-0.351
6
857 Hyogo
Sasayama-Shi
-0.357
6
858 Kyoto
Maizuru-Shi
-0.369
6
859 Nagano
Suzaka-Shi
-0.371
6
860 Gumma
Itakura-Machi Ora-Gun
-0.384
6
861 Shiga
Yasu-Shi
-0.402
6
862 Hyogo
Taka-Cho Taka-Gun
-0.404
6
863 Wakayama Kinokawa-Shi
-0.414
6
864 Nagano
Komoro-Shi
-0.418
6
865 Aichi
Higashiura-Cho Chita-Gun
-0.427
6
866 Kochi
Kochi-Shi
-0.467
6
867 Ibaraki
Kitaibaraki-Shi
-0.481
6
868 Hokkaido Shibetsu-Shi
-0.482
6
869 Okinawa Itoman-Shi
-0.496
6
870 Hyogo
Sayo-Cho Sayo-Gun
-0.498
6
871 Aichi
Mihama-Cho Chita-Gun
-0.506
6
872 Akita
Noshiro-Shi
-0.557
6
873 Nagano
Tomi-Shi
-0.657
6
874 Fukui
Obama-Shi
-0.699
6
875 Yamaguchi Kudamatsu-Shi
-1.124
※1: Material products, 2: Chemicals, 3: General machinery, 4: Electric machinery,
5: Transportation machinery, and 6: Miscellaneous products.
Industry Ranking
State
City/Ward/Town/Village
95