Winter semester- 2025
Assignement-1
Subject-
RD-511 (uRbaniSation anD migRation)
topiccalculation of volume anD Rate of migRation,
immigRation anD outmigRation foR DiStRictS of
HimancHal pRaDeSH aS peR 2011 cenSuS Data.
Submitted By:
Abhay Patel, 233510010011
Submitted To:
Dr. Bhaswati Das
Professor, CSRD
Centre for the Study of Regional Development,
School of Social Sciences,
Jawaharlal Nehru University, New Delhi,
110067
1. introductionMigration is a fundamental demographic process that involves the movement of people from
one place to another, either temporarily or permanently. Migration is a crucial subject of study in
population geography, significantly influencing spatial population structures, labor mobility, and
regional disparities. Among its various forms, inter-district migration plays a particularly
transformative role in reshaping demographic compositions and economic geographies. Defined as the
movement of people across district boundaries, it is primarily driven by economic, social, and
environmental differentials between source and destination regions. The phenomenon is closely linked
to rural-to-urban migration, where disparities in employment opportunities, industrialization, and
social infrastructure create distinct migratory streams.
Inter-district migration reflects broader spatio-temporal patterns of human mobility, often
forming well-established migration corridors. In India, this is evident in large-scale movements from
agrarian hinterlands to industrial and service-sector hubs. This process leads to population
redistribution, contributing to population agglomeration in urban centers while causing depopulation
and structural transformations in out-migration regions. The demographic consequences of this shift
include age-selective migration, where younger and economically active groups relocate, leaving
behind aging and dependent populations in rural areas. Additionally, this migration affects household
structures, gender roles, and social networks, necessitating an exploration of its sociocultural
dimensions.
While intra-district migration—which involves movement within the same district—remains
an important factor in rural labor dynamics, its impact is more localized compared to inter-district
flows. Analyzing inter-district migration through a geographical lens provides insights into regional
labor markets, urbanization trends, and the spatial manifestations of economic development,
contributing to a deeper understanding of population mobility and its long-term socio-spatial
implications.
2. dAtA sourcesThe data for the calculation of the volume and rate of migration, immigration and
outmigration for the districts of Himanchal Pradesh has been taken from census of india table “ D-11:
PERSONS BORN AND ENUMERATED IN DISTRICTS OF THE STATE/UT – 2011”. It was taken
from the website https://new.census.gov.in/nada/index.php/catalog/11187 produced by Office of the
Registrar General & Census Commissioner, India.
3. methodologyThe migration analysis in this study is based on district-wise data from the D-11 table of the
Census of India. The methodology involves calculating migration indicators, including immigration
rate, out-migration rate, net migration rate, and migration volume.
1. Volume of the immigration and outmigration was calculated using a 12*12 matrix consisting
of data of total population that was enumerated in a district and the total population that was
enumerated in the district but was born in some other district of the state. This gives us the
volume of immigration in the right side of the matrix while volume of outmigration is
calculated below the matrix.
2. Immigration Rate: This is determined by dividing the total number of in-migrants in a district
by the total district population and multiplying by 1,000 to obtain a per-thousand figure.
3. Out-Migration Rate: This is calculated similarly by dividing the number of individuals who
migrated out of a district by the total population, then multiplying by 1,000.
4. Net Migration Rate (NMR): This is derived similarly by dividing the volume of net migration
of a district by the total mid-year population, then multiplying by 1,000.
Volume of Net migration= (total immigration – total outmigration).
Rate of net migration={𝐕𝐨𝐥𝐮𝐦𝐞 𝐨𝐟 𝐧𝐞𝐭 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧/ 𝐭𝐨𝐭𝐚𝐥 𝐦𝐢𝐝 𝐲𝐞𝐚𝐫 𝐩𝐨𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐝𝐢𝐬𝐭𝐫𝐢𝐜𝐭}*1000
Table1. table showing the calculated immigration and outmigration and net migration volume and rate of
the districts.
4. interpretAtionsA. Migration Streams and Counter-Streams in Himachal Pradesh
Migration patterns in Himachal Pradesh show clear trends, with some districts attracting more
people while others see high out-migration. These movements are influenced by economic
opportunities, administrative importance, tourism, and environmental conditions.
Districts like Shimla, Solan, and Kullu experience significant in-migration due to better job
opportunities, government offices, and tourism. Kullu has the highest immigration rate (74.17 per
1,000 people), mainly due to its growing tourism sector. Solan records the highest net migration gain
(+13,348), as industries in Baddi attract many labour migrants. Similarly, towns like Mandi and
Dharamshala see a steady inflow of people because they serve as important educational and
administrative centres.
On the other hand, districts like Chamba, Kangra, and Lahaul & Spiti face high out-migration.
Lahaul & Spiti has the highest negative net migration (-6,233) due to its harsh climate and limited job
opportunities. Many young men from Kangra and Chamba migrate to Punjab, Haryana, and Delhi for
industrial and service-sector jobs. Seasonal migration is also common in high-altitude regions, where
people temporarily move to lower areas during winter for better living conditions.
From a population geography perspective, these migration trends highlight regional
inequalities, economic imbalances, and the role of physical geography in shaping human movement.
Understanding these patterns is important for analysing labour mobility, urban growth, and
demographic shifts in the state.
bar graph of volume of immigration,outmigration and net
migration of districts
Una
Bilaspur
Solan
62938
5252
9168
32469
31007
41301
32777
17279
15498
Mandi Hamirpur
12707
14720
17710
22707
Kullu
8462
18261
20643
38904
67897
24489
20000
1276
7509
40000
10372
22549
60000
32479
19131
13348
45281
58947
80000
77658
100000
Sirmaur Shimla Kinnaur
-9842
-6233
-13666
-12177
-20000
chamba Kangra Lahul &
Spiti
-5537
0
-43408
-36049
-40000
-60000
total immigration
total outmigration
Net migration
bar graph of Rate of immigration,outmigration and net migration
of districts
300.00
77.32
14.58
100.00
40.58
30.48
45.39
200.00
-18.57
-10.62
-43.42
-9.05
-100.00
-23.46
0.00
-400.00
-500.00
Immigration rate
outmigration rate
net migration rate
-428.54
-300.00
-197.47
-200.00
b. Probable Causes of Migration Patterns in Himachal Pradesh
Migration in Himachal Pradesh is shaped by economic, educational, social, and
environmental factors, which influence both in-migration and out-migration across different districts.
Economic opportunities are one of the main reasons for migration. Industrial areas like Baddi in Solan
attract workers from nearby districts due to the availability of jobs in factories and businesses. On the
other hand, remote districts with fewer industries see many young people moving out in search of
better livelihoods, often to states like Punjab, Haryana, and Delhi.
Education is another key factor. Cities such as Shimla, Mandi, and Dharamshala attract
students and teachers because they have better schools, colleges, and universities. While many students
stay within the state for higher studies, some still migrate to bigger cities like Delhi and Chandigarh
for better educational opportunities.
Social and cultural factors also play a role in migration. Marriage is a major reason for
inter-district migration, especially among women. Additionally, families often move to urban areas for
better healthcare, infrastructure, and living conditions, contributing to long-term population shifts.
Environmental factors further influence migration patterns. High-altitude districts like
Kinnaur and Lahaul & Spiti see seasonal migration as people temporarily move to lower areas during
extreme winters. Climate-related challenges, especially in agriculture-dependent regions, also push
people towards areas with more stable job opportunities.
5. conclusion
Migration patterns in Himachal Pradesh are shaped by economic opportunities, social factors,
and environmental conditions, leading to different trends across districts. Urban and industrial centers
like Shimla, Solan, and Dharamshala continue to attract migrants due to better jobs, education, and
healthcare, while rural and high-altitude districts face population decline as people move out in search
of better opportunities.
The migration pattern found reflects spatial inequalities and regional imbalances. Continuous
out-migration from remote districts leads to aging populations, labor shortages, and slow economic
growth in those areas, while urban centers experience overcrowding and pressure on resources. To
address these challenges, there is a need to strengthen local economies, improve infrastructure, and
promote sustainable tourism to retain populations in less-developed regions.
Enhancing transport and communication networks can improve access to markets, healthcare,
and education, making remote districts more livable. Encouraging balanced regional development
through decentralized growth can help reduce excessive out-migration while ensuring more equal
economic progress across Himachal Pradesh. Understanding these migration trends is essential for
analyzing long-term demographic changes and regional development patterns in the state.