India Census: Households Distributions: by Size: 6 to 8 Members data was reported at 24.900 % in 2011. This records a decrease from the previous number of 27.900 % for 2001. India Census: Households Distributions: by Size: 6 to 8 Members data is updated yearly, averaging 26.400 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 27.900 % in 2001 and a record low of 24.900 % in 2011. India Census: Households Distributions: by Size: 6 to 8 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

India Census: Households Distributions: by Size: 4 Members data was reported at 22.700 % in 2011. This records an increase from the previous number of 18.900 % for 2001. India Census: Households Distributions: by Size: 4 Members data is updated yearly, averaging 20.800 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 22.700 % in 2011 and a record low of 18.900 % in 2001. India Census: Households Distributions: by Size: 4 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

India Census: Households Distributions: by Size: 6 and More Members data was reported at 31.500 % in 2011. This records a decrease from the previous number of 39.100 % for 2001. India Census: Households Distributions: by Size: 6 and More Members data is updated yearly, averaging 35.300 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 39.100 % in 2001 and a record low of 31.500 % in 2011. India Census: Households Distributions: by Size: 6 and More Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

India Census: Households Distributions: Rural: by Size: 2 Members data was reported at 9.800 % in 2011. This records an increase from the previous number of 8.200 % for 2001. India Census: Households Distributions: Rural: by Size: 2 Members data is updated yearly, averaging 9.000 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 9.800 % in 2011 and a record low of 8.200 % in 2001. India Census: Households Distributions: Rural: by Size: 2 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

India Census: Households Distributions: by Size: 1 Member data was reported at 3.700 % in 2011. This records an increase from the previous number of 3.500 % for 2001. India Census: Households Distributions: by Size: 1 Member data is updated yearly, averaging 3.600 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 3.700 % in 2011 and a record low of 3.500 % in 2001. India Census: Households Distributions: by Size: 1 Member data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

In the financial year 2021, a majority of Indian households fell under the aspirers category, earning between ******* and ******* Indian rupees a year. On the other hand, about ***** percent of households that same year, accounted for the rich, earning over * million rupees annually. The middle class more than doubled that year compared to ** percent in financial year 2005. Middle-class income group and the COVID-19 pandemic During the COVID-19 pandemic specifically during the lockdown in March 2020, loss of incomes hit the entire household income spectrum. However, research showed the severest affected groups were the upper middle- and middle-class income brackets. In addition, unemployment rates were rampant nationwide that further lead to a dismally low GDP. Despite job recoveries over the last few months, improvement in incomes were insignificant. Economic inequality While India maybe one of the fastest growing economies in the world, it is also one of the most vulnerable and severely afflicted economies in terms of economic inequality. The vast discrepancy between the rich and poor has been prominent since the last ***** decades. The rich continue to grow richer at a faster pace while the impoverished struggle more than ever before to earn a minimum wage. The widening gaps in the economic structure affect women and children the most. This is a call for reinforcement in in the country’s social structure that emphasizes access to quality education and universal healthcare services.

Abstract

The National Family Health Survey 2019-21 (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India, each state/union territory (UT), and for 707 districts.

The primary objective of the 2019-21 round of National Family Health Surveys is to provide essential data on health and family welfare, as well as data on emerging issues in these areas, such as levels of fertility, infant and child mortality, maternal and child health, and other health and family welfare indicators by background characteristics at the national and state levels. Similar to NFHS-4, NFHS-5 also provides information on several emerging issues including perinatal mortality, high-risk sexual behaviour, safe injections, tuberculosis, noncommunicable diseases, and the use of emergency contraception.

The information collected through NFHS-5 is intended to assist policymakers and programme managers in setting benchmarks and examining progress over time in India’s health sector. Besides providing evidence on the effectiveness of ongoing programmes, NFHS-5 data will help to identify the need for new programmes in specific health areas.

The clinical, anthropometric, and biochemical (CAB) component of NFHS-5 is designed to provide vital estimates of the prevalence of malnutrition, anaemia, hypertension, high blood glucose levels, and waist and hip circumference, Vitamin D3, HbA1c, and malaria parasites through a series of biomarker tests and measurements.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15 to 54

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, all men age 15-54, and all children aged 0-5 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

A uniform sample design, which is representative at the national, state/union territory, and district level, was adopted in each round of the survey. Each district is stratified into urban and rural areas. Each rural stratum is sub-stratified into smaller substrata which are created considering the village population and the percentage of the population belonging to scheduled castes and scheduled tribes (SC/ST). Within each explicit rural sampling stratum, a sample of villages was selected as Primary Sampling Units (PSUs); before the PSU selection, PSUs were sorted according to the literacy rate of women age 6+ years. Within each urban sampling stratum, a sample of Census Enumeration Blocks (CEBs) was selected as PSUs. Before the PSU selection, PSUs were sorted according to the percentage of SC/ST population. In the second stage of selection, a fixed number of 22 households per cluster was selected with an equal probability systematic selection from a newly created list of households in the selected PSUs. The list of households was created as a result of the mapping and household listing operation conducted in each selected PSU before the household selection in the second stage. In all, 30,456 Primary Sampling Units (PSUs) were selected across the country in NFHS-5 drawn from 707 districts as on March 31st 2017, of which fieldwork was completed in 30,198 PSUs.

For further details on sample design, see Section 1.2 of the final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Four survey schedules/questionnaires: Household, Woman, Man, and Biomarker were canvassed in 18 local languages using Computer Assisted Personal Interviewing (CAPI).

Cleaning operations

Electronic data collected in the 2019-21 National Family Health Survey were received on a daily basis via the SyncCloud system at the International Institute for Population Sciences, where the data were stored on a password-protected computer. Secondary editing of the data, which required resolution of computer-identified inconsistencies and coding of open-ended questions, was conducted in the field by the Field Agencies and at the Field Agencies central office, and IIPS checked the secondary edits before the dataset was finalized.

Field-check tables were produced by IIPS and the Field Agencies on a regular basis to identify certain types of errors that might have occurred in eliciting information and recording question responses. Information from the field-check tables on the performance of each fieldwork team and individual investigator was promptly shared with the Field Agencies during the fieldwork so that the performance of the teams could be improved, if required.

Response rate

A total of 664,972 households were selected for the sample, of which 653,144 were occupied. Among the occupied households, 636,699 were successfully interviewed, for a response rate of 98 percent.

In the interviewed households, 747,176 eligible women age 15-49 were identified for individual women’s interviews. Interviews were completed with 724,115 women, for a response rate of 97 percent. In all, there were 111,179 eligible men age 15-54 in households selected for the state module. Interviews were completed with 101,839 men, for a response rate of 92 percent.

India Census: Households Distributions: Urban: by Size: All Households data was reported at 100.000 % in 2011. This stayed constant from the previous number of 100.000 % for 2001. India Census: Households Distributions: Urban: by Size: All Households data is updated yearly, averaging 100.000 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 100.000 % in 2011 and a record low of 100.000 % in 2011. India Census: Households Distributions: Urban: by Size: All Households data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

Abstract

The objectives of the debt and investment survey remain the same as those of the earlier surveys, namely, to obtain quantitative information on the stock of assets, incidence of indebtedness, capital formation and other indicators or rural/urban economy which will be of value in developing the credit structure in particular, and also for obtaining other allied information required in the field of planning and development. Further, since the survey will be of the kind of a repeat survey of that of the NSS 59th round, it is considered necessary to plan the survey in such a way as to ensure, as far as practicable, comparability with the estimates of the various characteristics generated from the earlier rounds. The survey period of the 70th round was from January to December 2013. This survey covers the whole of the Indian Union. Each sample FSU is being visited twice during this round in visit 1 and visit 2. Since the workload of the first visit (i.e. visit 1) is more, the first visit continues till the end of July 2013. Thus, period of the first visit is January - July 2013 and that of the second visit (i.e. visit 2) is August - December 2013. Broadly, the following information will be collected in this round from each household: (i) the assets of the household as on 30th June 2012, classified into (a) physical assets and (b) financial assets (ii) the liabilities of the household as on 30th June 2012 in visit 1 and as on 30th June 2013 in visit 2 (iii) the amount of capital expenditure incurred by the household during July 2012 - June 2013 on (a) residential plots, houses or buildings, (b) farm business, and (c) non-farm business.

Geographic coverage

In this round all the States and Union Territories except Andaman & Nicobar Islands, Chandigarh, Dadra & Nagar Haveli and Lakshadweep are participating.

Analysis unit

Randomly selected households based on sampling procedure and members of the household

Universe

The survey used the interview method of data collection from a sample of randomly selected households and members of the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

1. Sample Design

3.1 Outline of sample design: A stratified multi-stage design has been adopted for the 70th round survey. The first stage units (FSU) are the census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In case of large FSUs, one intermediate stage of sampling is the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each rural/ urban FSU.

3.2 Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages updated by excluding the villages urbanised and including the towns de-urbanised after 2001 census (henceforth the term 'village' would mean Panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the latest updated list of UFS blocks (2007-12) is considered as the sampling frame.

3.3 Stratification:

(a) Stratum has been formed at district level. Within each district of a State/ UT, generally speaking, two basic strata have been formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising all the urban areas of the district. However, within the urban areas of a district, if there were one or more towns with population 10 lakhs or more as per population census 2011 in a district, each of them formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.

(b) However, a special stratum in the rural sector only was formed at State/UT level before district- strata were formed in case of each of the following 20 States/UTs: Andaman & Nicobar Islands, Andhra Pradesh, Assam, Bihar, Chhattisgarh, Delhi, Goa, Gujarat, Haryana, Jharkhand, Karnataka, Lakshadweep, Madhya Pradesh, Maharashtra, Odisha, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal. This stratum will comprise all the villages of the State with population less than 50 as per census 2001.

(c) In case of rural sectors of Nagaland one special stratum has been formed within the State consisting of all the interior and inaccessible villages. Similarly, for Andaman & Nicobar Islands, one more special stratum has been formed within the UT consisting of all inaccessible villages. Thus for Andaman & Nicobar Islands, two special strata have been formed at the UT level:

(i) special stratum 1 comprising all the interior and inaccessible villages (ii) special stratum 2 containing all the villages, other than those in special stratum 1, having population less than 50 as per census 2001.

3.4 Sub-stratification:

Rural sector: Different sub-stratifications are done for 'hilly' States and other States. Ten (10) States are considered as hilly States. They are: Jammu & Kashmir, Himachal Pradesh, Uttarakhand, Sikkim, Meghalaya, Tripura, Mizoram, Manipur, Nagaland and Arunachal Pradesh.

(a) sub-stratification for hilly States: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed was 'r/2'. The villages within a district as per frame have been first arranged in ascending order of population. Then sub-strata 1 to 'r/2' have been demarcated in such a way that each sub-stratum comprised a group of villages of the arranged frame and have more or less equal population.

(b) sub-stratification for other States (non-hilly States except Kerala): The villages within a district as per frame were first arranged in ascending order of proportion of irrigated area in the cultivated area of the village. Then sub-strata 1 to 'r/2' have been demarcated in such a way that each sub-stratum comprised a group of villages of the arranged frame and have more or less equal cultivated area. The information on irrigated area and cultivated area was obtained from the village directory of census 2001.

(c) sub-stratification for Kerala: Although Kerala is a non-hilly State but because of non-availability of information on irrigation at FSU (Panchayat Ward) level, sub-stratification by proportion of irrigated area was not possible. Hence the procedure for sub-stratification was same as that of hilly States in case of Kerala.

Urban sector: There was no sub-stratification for the strata of million plus cities. For other strata, each district was divided into 2 sub-strata as follows:

 sub-stratum 1: all towns of the district with population less than 50000 as per census 2011 
 sub-stratum 2: remaining non-million plus towns of the district

3.5 Total sample size (FSUs): 8042 FSUs have been allocated for the central sample at all-India level. For the state sample, there are 8998 FSUs allocated for all-India. State wise allocation of sample FSUs is given in Table 1.

3.6 Allocation of total sample to States and UTs: The total number of sample FSUs have been allocated to the States and UTs in proportion to population as per census 2011 subject to a minimum sample allocation to each State/ UT. While doing so, the resource availability in terms of number of field investigators as well as comparability with previous round of survey on the same subjects has been kept in view.

3.7 Allocation of State/ UT level sample to rural and urban sectors: State/ UT level sample size has been allocated between two sectors in proportion to population as per census 2011 with double weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. should not exceed the rural sample size. A minimum of 16 FSUs (minimum 8 each for rural and urban sector separately) is allocated to each state/ UT.

3.8 Allocation to strata: Within each sector of a State/ UT, the respective sample size has been allocated to the different strata in proportion to the population as per census 2011. Allocations at stratum level are adjusted to multiples of 2 with a minimum sample size of 2.

For special stratum formed in the rural areas of 20 States/UTs, as discussed in para 3.3 (b), 2 FSUs were allocated to each.

For special stratum 1 in the rural areas of Nagaland and Andaman & Nicobar Islands, 4 and 2 FSUs were allocated respectively.

3.9 Allocation to sub-strata:

3.9.1 Rural: Allocation is 2 for each sub-stratum in rural.

3.9.2 Urban: Stratum allocations have been distributed among the two sub-strata in proportion to the number of FSUs in the sub-strata. Minimum allocation for each sub-stratum is 2.

3.10 Selection of FSUs:

For the rural sector, from each stratum x sub-stratum, required number of sample villages has been selected by Simple Random Sampling Without Replacement (SRSWOR).

For the urban sector, FSUs have been selected by using Simple Random Sampling Without Replacement (SRSWOR) from each stratum x sub-stratum.

Both rural and urban samples were drawn in the form of two independent sub-samples and equal number of samples has been allocated among the two sub rounds.

3.11 Selection of hamlet-groups/ sub-blocks - important steps

3.11.1 Criterion for hamlet-group/ sub-block formation: After identification of the boundaries of the FSU, it is first determined whether listing is to be done in the whole sample FSU or not. In case the approximate present population of the selected FSU is found to be 1200 or more, it is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector by more or less equalising the population as stated below.

approximate present population of the sample FSU no. of hg's/sb's to be formed

less than 1200 (no hamlet-groups/sub-blocks) 1
1200 to 1799 3
1800 to

India Census: Households Distributions: by Size: 9 and More Members data was reported at 6.600 % in 2011. This records a decrease from the previous number of 11.300 % for 2001. India Census: Households Distributions: by Size: 9 and More Members data is updated yearly, averaging 8.950 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 11.300 % in 2001 and a record low of 6.600 % in 2011. India Census: Households Distributions: by Size: 9 and More Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

India Census: Households Distributions: Rural: by Size: 5 Members data was reported at 18.900 % in 2011. This records an increase from the previous number of 18.600 % for 2001. India Census: Households Distributions: Rural: by Size: 5 Members data is updated yearly, averaging 18.750 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 18.900 % in 2011 and a record low of 18.600 % in 2001. India Census: Households Distributions: Rural: by Size: 5 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

According to latest figures, the Chinese population decreased by 1.39 million to around 1.408 billion people in 2024. After decades of rapid growth, China arrived at the turning point of its demographic development in 2022, which was earlier than expected. The annual population decrease is estimated to remain at moderate levels until around 2030 but to accelerate thereafter. Population development in China China had for a long time been the country with the largest population worldwide, but according to UN estimates, it has been overtaken by India in 2023. As the population in India is still growing, the country is very likely to remain being home of the largest population on earth in the near future. Due to several mechanisms put into place by the Chinese government as well as changing circumstances in the working and social environment of the Chinese people, population growth has subsided over the past decades, displaying an annual population growth rate of -0.1 percent in 2024. Nevertheless, compared to the world population in total, China held a share of about 17 percent of the overall global population in 2024. China's aging population In terms of demographic developments, the birth control efforts of the Chinese government had considerable effects on the demographic pyramid in China. Upon closer examination of the age distribution, a clear trend of an aging population becomes visible. In order to curb the negative effects of an aging population, the Chinese government abolished the one-child policy in 2015, which had been in effect since 1979, and introduced a three-child policy in May 2021. However, many Chinese parents nowadays are reluctant to have a second or third child, as is the case in most of the developed countries in the world. The number of births in China varied in the years following the abolishment of the one-child policy, but did not increase considerably. Among the reasons most prominent for parents not having more children are the rising living costs and costs for child care, growing work pressure, a growing trend towards self-realization and individualism, and changing social behaviors.

In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

India Census: Households Distributions: Rural: by Size: 6 and More Members data was reported at 34.100 % in 2011. This records a decrease from the previous number of 41.900 % for 2001. India Census: Households Distributions: Rural: by Size: 6 and More Members data is updated yearly, averaging 38.000 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 41.900 % in 2001 and a record low of 34.100 % in 2011. India Census: Households Distributions: Rural: by Size: 6 and More Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

India Census: Households Distributions: by Size: 3 Members data was reported at 13.600 % in 2011. This records an increase from the previous number of 11.000 % for 2001. India Census: Households Distributions: by Size: 3 Members data is updated yearly, averaging 12.300 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 13.600 % in 2011 and a record low of 11.000 % in 2001. India Census: Households Distributions: by Size: 3 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

India Census: Households Distributions: Urban: by Size: 4 Members data was reported at 26.400 % in 2011. This records an increase from the previous number of 21.600 % for 2001. India Census: Households Distributions: Urban: by Size: 4 Members data is updated yearly, averaging 24.000 % from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 26.400 % in 2011 and a record low of 21.600 % in 2001. India Census: Households Distributions: Urban: by Size: 4 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF001: Census: Household Distributions.

India Census: Number of Migrants: Migration Reason: Moved with Household: Female data was reported at 24,930,526.000 Person in 2001. India Census: Number of Migrants: Migration Reason: Moved with Household: Female data is updated yearly, averaging 24,930,526.000 Person from Mar 2001 (Median) to 2001, with 1 observations. India Census: Number of Migrants: Migration Reason: Moved with Household: Female data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAG006: Census of India: Migration: Number of Migrants: by Reason.

Census: Number of Migrants: Migration Reason: Moved with Household: Puducherry data was reported at 172,332.000 Person in 03-01-2011. This records an increase from the previous number of 115,234.000 Person for 03-01-2001. Census: Number of Migrants: Migration Reason: Moved with Household: Puducherry data is updated decadal, averaging 143,783.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 172,332.000 Person in 03-01-2011 and a record low of 115,234.000 Person in 03-01-2001. Census: Number of Migrants: Migration Reason: Moved with Household: Puducherry data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAG012: Census of India: Migration: Number of Migrants: by Reason: Moved with Household.

Census: Number of Migrants: Migration Reason: Moved with Household: Karnataka: Male data was reported at 1,517,770.000 Person in 03-01-2011. This records an increase from the previous number of 823,383.000 Person for 03-01-2001. Census: Number of Migrants: Migration Reason: Moved with Household: Karnataka: Male data is updated decadal, averaging 1,170,576.500 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 1,517,770.000 Person in 03-01-2011 and a record low of 823,383.000 Person in 03-01-2001. Census: Number of Migrants: Migration Reason: Moved with Household: Karnataka: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAG012: Census of India: Migration: Number of Migrants: by Reason: Moved with Household.