Census variables and the Italian territorial database

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Census variables and the Italian territorial database - Istat

Census variables are divided into four groups: (i) population / individuals, (ii) households, (iii) buildings, (iv) housing.

Below are listed the measures and the dimensions defined for each group:

Population / Individuals

 measures : resident population, foreigners and stateless resident in Italy;

 dimensions : gender, age, marital status, level of education, labor force, employment status, working shifts, countries of origin.

Families

 measures : number of families, number of components;

 dimensions : family members, condition of enjoyment of the property.

• Buildings

 measures : number of buildings;

 dimensions: number of apartments in the building, building materials, construction period, number of floors, type of use of the building.

• Housing

 measures : number of houses, surface;

 dimensions : occupancy status, type of accommodation.

The Italian territory is divided according to two different aspects: the administrative and statistical-geographic perspective.

From the administrative point of view the territory is divided into:

State: Political entity that governs and exercises sovereign power over a certain territory and the subjects belonging to it;

Geographical division: North, South, East, West;

Region: Italian local authority;

Province: local authority having jurisdiction over a group of municipalities;

Municipalities: administrative body defined by specific territorial limits on which insists a portion of the population;

Sub-municipal area: areas defined in the 34 municipalities of greater demographic size and with a population of at least 100,000 inhabitants.

From the statistical-geographical point of view, the territory is partitioned as follows:

Census sections: part of the territory on which statistical surveys are made. The average population is about

170 individuals;

Census areas: pool of contiguous census sections;

• Localities: area, usually known by its own name, on which are located grouped or scattered houses.

The following table describes the 135 available indicators 1 :

Resident Population P1

P2

P3

Resident population –Total

Resident population - Male

Resident population - Female

1 Data are published according to an ontology designed on the basis of this input. If you want to have a direct access to such indicators, the name of indicators are stored as comments on specific observations, e.g. E10 (Residential building

- built from 1946 to 1960- for per Census Section 1 of Cerveteri municipality) are available at http://datiopen.istat.it/odi/page/censimento/indicatori/edifici/sezionicensimento/E10_580290000001

P24

P25

P26

P27

P28

P29

P30

P31

P32

P16

P17

P18

P19

P20

P21

P22

P23

P9

P10

P11

P12

P13

P14

P15

P4

P5

P6

P7

P8

P40

P41

P42

P43

P44

P45

P46

P33

P34

P35

P36

P37

P38

P39

P47

Resident population - Single

Resident population - Married (+ separated)

Resident population – Legally separated

Resident population - Widower

Resident population - Divorced

Resident population - Male - Single

Resident population – Male - Married or separated

Resident population – Male – Legally separated

Resident population – Male - Widower

Resident population – Male - Divorced

Resident population - Age < 5 years

Resident population - Age 5 - 9 years

Resident population - Age 10 - 14 years

Resident population - Age 15 - 19 years

Resident population - Age 20 - 24 years

Resident population - Age 25 - 29 years

Resident population - Age 30 - 34 years

Resident population - Age 35 - 39 years

Resident population - Age 40 - 44 years

Resident population - Age 45 - 49 years

Resident population - Age 50 - 54 years

Resident population - Age 55 - 59 years

Resident population - Age 60 - 64 years

Resident population - Age 65 - 69 years

Resident population - Age 70 - 74 years

Resident population - Age > 74 years

Resident population - Male - Age < 5 years

Resident population - Male - Age 5 - 9 years

Resident population - Male - Age 10 - 14 years

Resident population - Male - Age 15 - 19 years

Resident population - Male - Age 20 - 24 years

Resident population - Male - Age 25 - 29 years

Resident population - Male - Age 30 - 34 years

Resident population - Male - Age 35 - 39 years

Resident population - Male - Age 40 - 44 years

Resident population - Male - Age 45 - 49 years

Resident population - Male - Age 50 - 54 years

Resident population - Male - Age 55 - 59 years

Resident population - Male - Age 60 - 64 years

Resident population - Male - Age 65 - 69 years

Resident population - Male - Age 70 - 74 years

Resident population- Male - Age > 74 years

Resident population – Total - Age over 6 years

Resident population –with university degree (new and old systems )+ diplomas of university + or diplomas of nonuniversity tertiary (old and new systems)

Foreigners and stateless resident in Italy

P137

P138

P139

P140

ST1

ST2

ST3

P129

P130

P131

P132

P135

P136

P60

P61

P62

P64

P65

P66

P128

P54

P55

P56

P57

P58

P59

P48

P49

P50

P51

P52

P53

Resident population – with diploma of secondary school

Resident population – with diploma of middle school

Resident population – with diploma of elementary school

Resident population – alphabets

Resident population - illiterate

Resident population – Male – Age over 6 years

Resident population – Male - with university degree (new and old systems )+ diplomas of university + or diplomas of non-university tertiary (old and new systems)

Resident population - Male - with diploma of secondary school

Resident population - Male - with diploma of middle school

Resident population - Male - with diploma of elementary school

Resident population - Male - alphabets

Resident population - Male - illiterate

Resident population - Total – over 15 years - belonging to the labor force

Resident population – Total - over 15 years (FL)

Resident population - Total – over 15 years - unemployed seeking new employment

Resident population - Male – over 15 years - belonging to the labor force

Resident population – Male - over 15 years -employed (FL)

Resident population - Male – over 15 years - unemployed seeking new employment

Resident population - Total – over 15 years – not belonging to the labor force (NFL)

Resident population - Male - over 15 years - not belonging to the labor force (NFL)

Resident population - Total – over 15 years - housewife

Resident population - Total – over 15 years – students

Resident population – Male – over 15 years -students

Resident population - Total - over 15 years - in other condition

Resident population - Male – over 15 years - in other condition

Resident population -moving daily in the municipality of usual residence

Resident population - moving daily out of the municipality of usual residence

Resident population - Total – over 15 years – earners of income or capital

Resident population - Male – over 15 years - earners of income or capital

Foreigners and stateless resident in Italy - Total -

Foreigners and stateless resident in Italy - Male

Foreigners and stateless resident in Italy - Age 0 - 29 years

Families

Building

Housing

ST4

ST5

ST6

ST7

PF2

PF3

PF4

PF5

PF6

PF7

PF8

PF9

A3

A5

A44

A46

A47

A48

PF1

E1

E2

E3

ST8

ST9

ST10

ST11

ST12

ST13

ST14

ST15

A2

E4

E5

E6

E7

E8

E9

E10

E11

E12

Foreigners and stateless resident in Italy - Age 30 - 54 years

Foreigners and stateless resident in Italy - Age > 54 years

Foreigners and stateless resident in Italy - Male - Age 0 - 29 years

Foreigners and stateless resident in Italy - Male - Age 30 -

54 years

Foreigners and stateless resident in Italy - Male - Age > 54 years

Foreigners resident in Italy - Europe

Foreigners resident in Italy - Africa

Foreigners resident in Italy - America

Foreigners resident in Italy - Asia

Foreigners resident in Italy - Oceania

Stateless resident in Italy

Foreigners resident in Italy - Total -

Houses occupied by at least one person resident

Empty houses or houses occupied only by not resident persons

Other types of occupied accommodation

Surface of houses occupied by at least one resident person

Families living in rental housing

Families living in owned housing

Families living in houses occupied for other reasons

Families - Resident - Total

Families - Resident - Total members

Families - Resident - 1 member

Families - Resident - 2 members

Families - Resident - 3 members

Families - Resident - 4 members

Families – Resident - 5 members

Families – Resident - over 6 members

Number of families resident with over 6 members

Building and group of building - Total

Building and group of building used

Residential building

Building and group of building (used) with productive use, commercial, office / commercial, tourism / hospitality, services, other

Residential building with bearing walls

Residential building made with reinforced concrete

Residential buildings made with other materials (steel, wood, ..)

Residential building - built before 1919

Residential building - built from 1919 to 1945

Residential building - built from1946 to 1960

Residential building - built from 1961 to 1970

Residential building - built from 1971 to 1980

Example Dataset

E18

E19

E20

E21

E22

E23

E24

E13

E14

E15

E16

E17

E25

E26

E27

Residential building - built from 1981 to 1990

Residential building - built from 1991 to 2000

Residential building - built from 2001 to 2005

Residential building - built after 2005

Residential building – with 1 floor

Residential building – with 2 floors

Residential building – with 3 floors

Residential building – with 4 floors or more

Residential building – with 1 apartment

Residential building – with 2 apartments

Residential building – with 3 to 4 apartments

Residential building – with 5 to 8 apartments

Residential building - with 9 to 15 apartments

Residential building – with 16 apartments or more

Total of apartments in residential building

Measure:

o

Foreigners and stateless resident (in the file named “Residents”)

Dimensions:

o

Territory: Municipalities that are regional chief town

o

Sex, Age, Origin (see classifications categories above)

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