Key information about India Employed Persons

• India Employed Persons was reported at 470,495,536.230 Person in Dec 2021
• It recorded an increase from the previous number of 447,183,819.730 Person for Dec 2020
• India Employed Persons data is updated yearly, averaging 384,395,378.330 Person from Dec 1970 to 2021, with 52 observations
• The data reached an all-time high of 485,507,600.000 Person in 2019 and a record low of 209,275,793.440 Person in 1970
• India Employed Persons data remains active status in CEIC and is reported by CEIC Data
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Employed Persons: Annual: Asia

Organisation for Economic Co-operation and Development provides annual Employed Persons.

Unemployment Rate in India decreased to 7.90 percent in February from 8.20 percent in January of 2025. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Description:

This comprehensive dataset provides a historical overview of India's key statistical indicators across multiple domains. The data has been sourced from https://www.macrotrends.net, which aggregates information from reputable sources like the United Nations (UN), World Bank, and other authoritative organizations.

Contents:

1. Population: Demographic data including population size, growth rates, and age distribution.
2. Economy: Economic indicators such as GDP, GDP per capita, inflation rates, and employment figures.
3. Trade: Information on imports, exports, trade balances, and international trade partnerships.
4. Health: Health-related statistics encompassing life expectancy, disease prevalence, and healthcare infrastructure.
5. Education: Educational metrics including literacy rates, school enrollment, and education expenditure.
6. Development: Human development indices, poverty rates, and access to basic amenities.
7. Labor Force: Labor market statistics comprising employment rates, workforce composition, and wage trends.
8. Environment: Environmental data covering factors like carbon emissions, pollution, and natural resource usage.
9. Crime: Crime rates and trends, including various types of criminal activities.
10. Immigration: Information on immigration patterns, citizenship, and foreign-born populations.
11. Other: Miscellaneous data on various aspects of India's socio-economic landscape.

Disclaimer and Terms of Use:

The historical data provided in this dataset is intended solely for informational purposes and is not meant for trading purposes or as financial advice. Neither Macrotrends LLC nor any of our information providers will be liable for any damages relating to your use of the data provided. Users are encouraged to verify the data's accuracy and refer to the original sources for any critical decisions or analyses.

Employment Rate in India remained unchanged at 47.20 percent in the fourth quarter of 2024 from 47.20 percent in the third quarter of 2024. This dataset provides - India Worker Population Ratio- actual values, historical data, forecast, chart, statistics, economic calendar and news.

India Part Time Employment: % of Total Employment data was reported at 23.990 % in 2023. This records an increase from the previous number of 20.850 % for 2022. India Part Time Employment: % of Total Employment data is updated yearly, averaging 18.080 % from Dec 2018 (Median) to 2023, with 6 observations. The data reached an all-time high of 23.990 % in 2023 and a record low of 14.440 % in 2019. India Part Time Employment: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Employment and Unemployment. Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.;International Labour Organization. “Wages and Working Time Statistics database (COND)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;Relevance to gender indicator: More and more women are working part-time and one of the concern is that part time work does not provide the stability that full time work does.

Graph and download economic data for Employment to Population Ratio for India (SLEMPTOTLSPZSIND) from 1991 to 2024 about employment-population ratio, India, employment, and population.

In 2023, the estimated youth unemployment rate in India was at 15.67 percent. According to the source, the data are ILO estimates. For the past decade, India’s youth unemployment rate has been hovering around the 22 percent mark. What is the youth unemployment rate?The youth unemployment rate refers to those in the workforce who are aged 15 to 24 years and without a job, but actively seeking one. Generally, youth unemployment rates are higher than the adult unemployment rates, and India is no exception: youth unemployment in India is significantly higher than the national unemployment rate. The Indian workforce, young and oldIndia’s unemployment rate in general is not remarkably high when compared to those of other countries. Both India’s unemployment rate and youth unemployment rate are below their global equivalents. In a comparison of the Asia-Pacific region countries, India ranks somewhere in the middle, with Cambodia’s unemployment rate being estimated to be below one percent, and Afghanistan’s the highest at 8.8 percent.

India Unemployment: Per 1000 Persons: Current Daily Status: Urban: Female data was reported at 80.000 Person in 2012. This records a decrease from the previous number of 91.000 Person for 2010. India Unemployment: Per 1000 Persons: Current Daily Status: Urban: Female data is updated yearly, averaging 107.000 Person from Jun 1978 (Median) to 2012, with 8 observations. The data reached an all-time high of 145.000 Person in 1978 and a record low of 80.000 Person in 2012. India Unemployment: Per 1000 Persons: Current Daily Status: Urban: Female data remains active status in CEIC and is reported by National Sample Survey Organisation. The data is categorized under India Premium Database’s Labour Market – Table IN.GBA019: Employment and Unemployment Survey: Unemployment.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Indian Beach. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Indian Beach, the median income for all workers aged 15 years and older, regardless of work hours, was $54,046 for males and $24,321 for females.

These income figures highlight a substantial gender-based income gap in Indian Beach. Women, regardless of work hours, earn 45 cents for each dollar earned by men. This significant gender pay gap, approximately 55%, underscores concerning gender-based income inequality in the town of Indian Beach.

- Full-time workers, aged 15 years and older: In Indian Beach, for full-time, year-round workers aged 15 years and older, the Census Bureau did not report the median income for both males and females due to an insufficient number of sample observations.

As income data for both males and females was unavailable, conducting a comprehensive analysis of gender-based pay disparity in the town of Indian Beach was not possible.

https://i.neilsberg.com/ch/indian-beach-nc-income-by-gender.jpeg" alt="Indian Beach, NC gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Beach median household income by gender. You can refer the same here

India youth unemployment rate for 2024 was 16.03%, a 0.37% increase from 2023.

<ul style='margin-top:20px;'>

<li>India youth unemployment rate for 2023 was <strong>15.66%</strong>, a <strong>2.11% decline</strong> from 2022.</li>
<li>India youth unemployment rate for 2022 was <strong>17.77%</strong>, a <strong>3.06% decline</strong> from 2021.</li>
<li>India youth unemployment rate for 2021 was <strong>20.82%</strong>, a <strong>3.84% decline</strong> from 2020.</li>
</ul>Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.

Context

This datasets contains data from RBI which is published annually and this data has different features such as

Column names and legends

2000-01-INC = Income of each state for the year 2001 2011-12-INC = Income of each state for the year 2011

2001 - LIT = Literacy rate of each state for the year 2001 2011- LIT = Literacy rate of each state for the year 2011

2001 - POP = Total population of each state for the year 2001 2011- POP = Total population of each state for the year 2011

2001 -SEX_Ratio = Sex_Ratio of the each state for the year 2001 2011 -SEX_Ratio = Sex_Ratio of the each state for the year 2011

2001 -UNEMP = Unemployment rate of the each state for the year 2001 2011 -UNEMP = Unemployment rate of the each state for the year 2011

2001 -Poverty = Poverty rate of the each state for the year 2001 2011 -Poverty = Poverty rate of the each state for the year 2001

Unemployment Rate - for a month is calculated using the following formula: The monthly estimations for India are calculated as a ratio of the total estimated unemployed persons in India to the total estimated labor force for a month

Poverty rate = A common method used to estimate poverty in India is based on the income or consumption levels and if the income or consumption falls below a given minimum level, then the household is said to be Below the Poverty Line

state's Income measured using state domestic product - is the total value of goods and services produced during any financial year within the geographical boundaries of a state

Literacy rate - Total number of literate persons in a given age group, expressed as a percentage of the total population in that age group. The adult literacy rate measures literacy among persons aged 15 years and above, and the youth literacy rate measures literacy among persons aged 15 to 24 years

Acknowledgements

I wouldn't be here without the help of my friends and people who read this post. I owe you thanks for this research.

Inspiration

here are pretty basic question but I would high appreciate the data scientist community for any deep insight of the data in plots Cheers!!

Objective of the study:

-Is state's income is based on the education of the state -Does literacy rate contribute any changes to poverty rate

Source of the Datasets

datasets link

if this found useful kindly up-vote cheers!!

Employment Rate in India - values from PLFS and UNDP for male, female, rural, urban, and comparison with global peers.

Abstract

Objective of the survey on employment and unemployment:

The basic objective of the employment-unemployment surveys of NSSO is to get estimates of the employment and unemployment characteristics at national and State level. The statistical indicators on labour market are required for planning, policy and decision making at various levels, both within government and outside. Some of the important uses of these indicators include use by the Planning Commission in evolving employment strategy, use by National Accounts Division in estimating gross domestic product using sector wise workforce participation, and use by various researchers to analyse the condition of the labour market. In this context, it may be mentioned that data collected in NSS employment-unemployment surveys was widely used by the National Commission for Enterprises in the Unorganised Sector (NCEUS), 2009. In NSS 68th round, information on various facets of employment and unemployment will be collected in Schedule 10 (Employment and Unemployment) from all the members of the selected households.

The critical issues in the context of labour force enquiries pertain to defining the labour force and measuring participation of labour force in different economic activities. The activity participation of the people is not only dynamic but also multidimensional; it varies with region, age, education, gender, industry and occupational category. These aspects of the labour force will be captured in detail in the present survey on employment and unemployment. Major types of information that will be collected in this round relate to activity status, industry, occupation and earning from employment for the employees along with education particulars, etc. Besides, the survey will also provide insight into the informal sector and informal employment. Information will be collected from the workers about the type of enterprises in which they were engaged and conditions of employment for the employees. Using the data collected from employment and unemployment surveys, indicators will be generated on labour force participation rate, worker population ratio, unemployment rates, employment in the informal sector, informal employment, wages of employees, etc.

Description:

The survey on employment and unemployment is the prime source of estimates of various parameters of labour force and activity participation of the population. The first quinquennial survey on employment - unemployment, carried out by the NSSO in the 27th round (September 1972 - October 1973), made a marked departure from the earlier employment surveys of NSSO in procedure and content. The concepts and procedures followed in this survey were primarily based on the recommendations of the 'Expert Committee on Unemployment Estimates' (1970). Since then, the seven successive quinquennial surveys conducted in the 32nd, 38th, 43rd, 50th, 55th, 61st and 66th rounds have, more or less, followed an identical approach in the measurement of employment and unemployment. The basic approach (in all these seven quinquennial surveys) had been the collection of data to generate the estimates of employment and unemployment according to the 'usual status' based on a reference period of one year, the 'current weekly status' based on a reference period of one week, and the 'current daily status' based on each day of the seven days preceding the date of survey. In order to reveal the multi-dimensional aspects of the employment-unemployment situation in India, information on several correlates were also gathered in these surveys. Sets of probing questions on some of these aspects had also been one of the basic features of these surveys. In NSS 68th round (July 2011- June 2012), detailed information on employment-unemployment was collected in the same way as was done in the last quinquennial survey, i.e., in NSS 66th round.

A Working Group was set up for the purpose of finalising the survey methodology and schedules of enquiry of the 68th round. Considering all the aspects of current data demand and usefulness of the survey results, the Group has suggested a few improvisations, additions and deletions in the content of the schedule of enquiry for the present survey. The major changes made in the schedule for employment and unemployment survey vis-à-vis the previous quinquennial survey (NSS 66th round) are given below:

a) Block 3: 1) In NSS 66th round survey, along with the information on 'whether the household has NREG job card', information was collected on 'whether got work in NREG works during the last 365 days', 'number of days worked' and 'mode of payment'. In NSS 68th round for rural households, information on Mahatma Gandhi National Rural Employment Guarantee (MGNREG) works was collected on the following: i. whether the household has MGNREG job card ii. number of MGNREG job cards issued to the household iii. whether any member of the household has any bank/post office account Information on the last two items (viz., ii & iii) will be collected from the households which have got MGNREG job card. 2) Household type codes and procedure for determination of household type codes in rural areas have been modified.

b) Block 3.1: In this block information on indebtedness of rural labour households was collected in NSS 66th round. This Block was not canvassed in NSS 68th round.

c) Block 4: i. Instead of collecting information on 'whether currently registered with employment exchange' for persons of age 15-45 years as was done in NSS 66th round, information was collected for the same age group on 'whether currently registered with any placement agency'. ii. In NSS 66th round, for vocational training, detailed information was collected on 'duration of training', 'source from which degree/diploma/certificate received' and 'whether the vocational training was ever helpful in getting a job'. In NSS 68th round, collection of information on vocational training was restricted only to 'whether receiving/received any vocational training' and 'field of training'. iii. For persons of age 18 years and above in rural households with MGNREG job card, information was collected on 'whether registered in any MGNREG job card' and, for those who were registered in any MGNREG job card 'whether worked in MGNREG work during last 365 days'. Such information was not collected in NSS 66th round.

d) Block 5.1/5.2: i. Information on 'seeking or available or suitable for the type of occupation' which was collected in NSS 66th round in Block 5.1 from the non-workers of age below 75 years, was not collected. ii. The probing questions to the self-employed persons in the usual status (Block 5.1/5.2) to identify Home Based Workers have been deleted.

e) Block 5.3: i. In this block, for those who were unemployed on all the 7 days of the week, information was also collected on 'duration of present spell of unemployment'. In NSS 66th round, this question was placed in Block 6. Except retaining this item in Block 5.3, Block 6 of NSS 66th round on follow-up questions for persons unemployed on all the 7 days of the week has been deleted.

f) Block 6 (Block 7.1/7.2 of NSS 66th round): i. Block 7.1 and Block 7.2 have been restructured by deleting some of the items and a new block (Block 6) has been formed in NSS 68th round. ii. Questions on remunerativeness of the earning from self-employment which were asked in NSS 66th round in Block 7.1 to the self-employed persons in principal status and/or subsidiary status have been deleted. These were, 'do you regard the current earning from self-employment as remunerative?' and 'what amount per month would you regard as remunerative?'. iii. Information was collected in NSS 66th round in Block 7.2 on some aspects of labour mobility, such as, whether changed establishment, status, industry, occupation during the period of last two years. Information on these items was not collected in NSS 68th round. iv. The three items of Block 7.2 of NSS 66th round which have been retained in NSS 68th round are placed in Block 6. These are: 1. Is there any union/association in your activity? 2. Whether a member of union/association 3. Nature of employment

Geographic coverage

The survey will cover the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample design

Outline of sample design: A stratified multi-stage design has been adopted for the 68th round survey. The first stage units (FSU) are the 2001 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.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (henceforth the term 'village' would include also Panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the list of UFS blocks (2007-12) is considered as the sampling frame.

Stratification: 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 of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them forms a separate basic stratum and the remaining urban areas of the district are considered as another

Labor force, total in India was reported at 607691498 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Labor force, total - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Abstract

The Employment and Unemployment surveys of National sample Survey (NSS) are primary sources of data on various indicators of labour force at National and State levels. These are used for planning, policy formulation, decision support and as input for further statistical exercises by various Government organizations, academicians, researchers and scholars. NSS surveys on employment and un-employment with large sample size of households have been conducted quinquennially from 27th. round(October'1972 - September'1973) onwards. Cotinuing in this series the fourth such all-india survey on the situation of employment and unemployment in India was carried out during the period july 1987 - june 1988 .

The working Group set up for planning of the entire scheme of the survey, among other things, examined also in detail some of the key results generated from the 38th round data and recommended some stream-lining of the 38th round schedule for the use in the 43rd round. Further, it felt no need for changing the engaging the easting conceptual frame work. However, some additional items were recommended to be included in the schedule to obtain the necessary and relevant information for generating results to see the effects on participation rates in view of the ILO suggestions.5.0.1. The NSSO Governing Council approved the recommendations of the working Group and also the schedule of enquiry in its 44th meeting held on 16 January, 1987. In this survey, a nation-wide enquiry was conducted to provide estimates on various characteristics pertaining to employment and unemployment in India and some characteristics associated with them at the national and state levels. Information on various facets of employment and unemployment in India was collected through a schedule of enquiry (schedule 10).

Geographic coverage

The survey covered the whole of Indian Union excepting i) Ladakh and Kargil districts of Jammu & Kashmir ii) Rural areas of Nagaland

Analysis unit

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

Kind of data

Sample survey data [ssd]

Sampling procedure

It may be mentioned here that in order to net more households of the upper income bracket in the Sample , significant changes have been made in the sample design in this round (compares to the design of the 38th round).

SAMPLE DESIGN AND SAMPLE SIZE The survey had a two-stage stratified design. The first stage units (f.s.u.'s) are villages in the rural sector and urban blocks in the urban sector. The second stage units are households in both the sectors. Sampling frame for f.s.u.'s : The lists of 1981 census villages constituted the sampling frame for rural sector in most districts. But the 1981 census frame could not be used for a few districts because, either the 1981 census was not held there or the list of 1981 census villages could not be obtained or the lists obtained from the census authorities were found to be grossly incomplete. In such cases 1971 census frame were used. In the urban sector , the Urban Frame Survey (U.F.S.) blocks constituted the sampling frame. STRATIFICATION : States were first divided into agro-economic regions which are groups of contiguous districts , similar with respect to population density and crop pattern. In Gujarat, however , some districts have been split for the purpose of region formation In consideration of the location of dry areas and the distribution of the tribal population in the state. The composition of the regions is given in the Appendix. RURAL SECTOR: In the rural sector, within each region, each district with 1981Census rural population less 1.8 million formed a single stratum. Districts with larger population were divided into two or more strata, depending on population, by grouping contiguous tehsils similar, as for as possible, in respect of rural population Density and crop pattern. (In Gujarat, however , in the case of districts extending over more than one region, even if the rural population was less than 1.8 million, the portion of a district falling in each region constituted a separate stratum. Further ,in Assam the old "basic strata" formed on the basis of 1971 census rural population exactly in the above manner, but with cut-off population as 1.5 million have been retained as the strata for rural sampling.) URBAN SECTOR : In the urban sector , strata were formed , again within NSS region , on the basis of the population size class of towns . Each city with population 10 lakhs or more is self-representative , as in the earlier rounds . For the purpose of stratification, in towns with '81 census population 4 lakhs or more , the blocks have been divided into two categories , viz . : One consisting of blocks in areas inhabited by the relatively affluent section of the population and the other consisting of the remaining blocks. The strata within each region were constituted as follows :

Table (1.2) : Composition of urban strata

Stratum population class of town

number

(1) (2)

1 all towns with population less than 50,000 2 -do- 50,000 - 199,999 3 -do- 200,000 - 399,999 4 -do- 400,000 - 999,999 ( affluent area) 5 (other area) 6 a single city with population 1 million and above (affluent area) 7 " (other area) 8 another city with population 1 million and above

9 " (other area)

Note : There is no region with more than one city with population 1 million and above. The stratum number have been retained as above even if in some regions some of the strata are empty. Allocation for first stage units : The total all-India sample size was allocated to the states /U.T.'s proportionate to the strength of central field staff. This was allocated to the rural and urban sectors considering the relative size of the rural and urban population. Now the rural samples were allocated to the rural strata in proportion to rural population. The urban samples were allocated to the urban strata in proportion to urban population with double weight age given to those strata of towns with population 4 lakhs or more which lie in area inhabited by the relatively affluent section. All allocations have been adjusted such that the sample size for stratum was at least a multiple of 4 (preferably multiple of 8) and the total sample size of a region is a multiple of 8 for the rural and urban sectors separately.
Selection of f.s.u.'s : The sample villages have been selected circular systematically with probability proportional to population in the form of two independent interpenetrating sub-samples (IPNS) . The sample blocks have been selected circular systematically with equal probability , also in the form of two IPNS' s. As regards the rural areas of Arunachal Pradesh, the procedure of 'cluster sampling' was:- The field staff will be supplied with a list of the nucleus villages of each cluster and they selected the remaining villages of the cluster according to the procedure described in Section Two. The nucleus villages were selected circular systematically with equal probability, in the form of two IPNS 's. Hamlet-group and sub-blocks : Large villages and blocks were sub- divided into a suitable number of hamlet-groups and sub-blocks respectively having equal population convent and one them was selected at random for surveys. Hamlet-group and sub-blocks : Large villages and blocks were sub- divided into a suitable number of hamlet-groups and sub-blocks respectively having equal population convent and one them was selected at random for surveys. Selection of households : rural : In order to have adequate number of sample households from the affluent section of the society, some new procedures were introduced for selection of sample households, both in the rural and urban sectors. In the rural sector , while listing households, the investigator identified the households in village/ selected hamlet- group which may be considered to be relatively more affluent than the rest. This was done largely on the basis of his own judgment but while exercising his judgment considered factors generally associated with rich people in the localitysuch as : living in large pucca house in well-maintained state, ownership/possession of cultivated/irrigated land in excess of certain norms. ( e.g.20 acres of cultivated land or 10 acres of irrigated land), ownership of motor vehicles and costly consumer durables like T.V. , VCR, VCP AND refrigerator, ownership of large business establishment , etc. Now these "rich" households will form sub-stratum 1. (If the total number of households listed is 80 or more , 10 relatively most affluent households will form sub-stratum 1. If it is below 80, 8 such households will form sub-stratum 1. The remaining households will 'constitute sub-stratum 2. At the time of listing, information relating to each household' s major sources of income will be collected, on the basis of which its means of livelihood will be identified as one of the following : "self-employed in non-agriculture " "rural labour" and "others" (see section Two for definition of these terms) . Also the area of land possessed as on date of survey will be ascertained from all households while listing. Now the households of sub-stratum 2 will be arranged in the order : (1)self-employed in non-agriculture, (2) rural labour, other households, with land possessed (acres) : (3) less than 1.00 (4) 1.00-2.49,(5)2.50-4.99, (6)

India is the most populous country in the world with one-sixth of the world's population. According to official estimates in 2022, India's population stood at over 1.42 billion.

This dataset contains the population distribution by state, gender, sex & region.

The file is in .csv format thus it is accessible everywhere.

In 2022, over 139 thousand of the data science job positions were available in multi-national corporation IT and KPO service provider companies in the south Asian country of India. An increase in the availability of the data science jobs was seen over the years from 2019.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No

UNIT DESCRIPTIONS: - Households: One of more individuals who normally reside together under the same roof and take food in the same kitchen, including temporary stay aways and excluding temporary visitors.

Universe

Not specified

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Sample Survey Organization, Government of India

SAMPLE DESIGN: Drawn by the NSSO, details not specified

SAMPLE UNIT: Household

SAMPLE FRACTION: .09%

SAMPLE SIZE (person records): 623,494

Mode of data collection

Face-to-face [f2f]

Research instrument

A single form that consists of 10 sections: 1) identification of sample household, 2) household characteristics, 3) demographic and current activity particulars during the preceding week, 4) demographic characteristics of migrants and their usual activity at the time of migration, 5) current activity of people in the labor force, 6) usual activity, 7) usual subsidiary gainful activity of persons who did not work, but not because of being old or disabled, 8) follow-up questions for persons whose principal activities were working, 9) persons who usually attended domestic duties, and 10) household indebtedness.

India is the 2nd most populated country in the world and greater part of population living in villages. This Dataset consists of number of villages and their population by their states ,district and their corresponding sub district as well. Also Population of males and females has mentioned separate . By utilizing this dataset you can get some insights of Indian villages population. which district ,sub district has how many villages and their population. so you can do lots of analysis based on this dataset.

Dataset Overview

State Code : Serial number(code) assigned for every state.
District Code: Serial number(code) assigned for every District of a state.
Sub District Code: Serial number(code) assigned for every Sub District of a district.
Level : Type of Place - India, State, District, Sub District
Inhabited Village : Total Number of inhabited village in particular state, district or sub-district.
Total Population: Total Population living in inhabited villages of particular state, district or sub-district
Male: Total Population of Male
Female: Total Population of Female
Name: Name of state, District , Sub-District etc.

Geographic coverage

The survey covers the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

For Leh (Ladakh) and Kargil districts of Jammu & Kashmir there is no separate sample first-stage units (FSUs) for "central sample". For these two districts, sample FSUs drawn as "state sample" will also be treated as central sample. The state directorate of economics and statistics (DES) will provide a copy of the filled-in schedules to Data Processing Division of NSSO for processing.

Analysis unit

Household, Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLE DESIGN

Outline of sample design: A stratified multi-stage design has been adopted for the 66th round survey. The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. In addition, two non-UFS towns of Leh and Kargil of Jammu & Kashmir are also treated as FSUs 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.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (henceforth the term "village" would mean Panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the list of latest available UFS blocks is considered as the sampling frame. For non-UFS towns, frame consists of the individual towns (only two towns, viz., Leh & Kargil constitute this frame).

Stratification: 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 of all the urban areas of the district. However, within the urban areas of a district, wherever there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them forms a separate basic stratum and the remaining urban areas of the district are considered as another basic stratum.

Sub-stratification: There is no sub-stratification in the urban sector. However, to net adequate number of child workers, for all rural strata, each stratum has been divided into 2 sub-strata as follows: sub-stratum 1: all villages with proportion of child workers (p) >2P (where P is the average proportion of child workers for the sate/ UT as per Census 2001) sub-stratum 2: remaining villages

Total sample size (FSUs): 12784 FSUs for central sample and 15132 FSUs for state sample have been allocated at all-India level. Further, data of 24 state sample FSUs of Leh and Kargil districts of J & K surveyed by DES, J & K will be included in the central sample

Allocation of total sample to States and UTs: The total number of sample FSUs is allocated to the States and UTs in proportion to population as per census 2001 subject to a minimum sample allocation to each State/ UT. While doing so, the resource availability in terms of number of field investigators has been kept in view.

Allocation of State/ UT level sample to rural and urban sectors: State/ UT level sample size is allocated between two sectors in proportion to population as per census 2001 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 (to the extent possible) is allocated to each state/ UT separately for rural and urban areas. Further the State level allocations for both rural and urban have been adjusted marginally in a few cases to ensure that each stratum/ sub-stratum gets a minimum allocation of 4 FSUs.

Allocation to strata/ sub-strata: Within each sector of a State/ UT, the respective sample size is allocated to the different strata/ sub-strata in proportion to the population as per census 2001. Allocations at stratum/ sub-stratum level are adjusted to multiples of 4 with a minimum sample size of 4 and equal number of samples has been allocated among the four sub rounds.

Selection of FSUs: For the rural sector, from each stratum/ sub-stratum, required number of sample villages has been selected by probability proportional to size with replacement (PPSWR), size being the population of the village as per Census 2001. For urban sector, from each stratum FSUs have been selected by using Simple Random Sampling Without Replacement (SRSWOR). Both rural and urban samples have been drawn in the form of two independent sub-samples.

More information on sampling and estimation procedure is available in the document " Note on Sample Design and Estimation Procedure of NSS 66th Round". including information on: - Formation and selection of hamlet-groups/ sub-blocks - Listing of households - Formation of second stage strata and allocation of households - Selection of households - Estimation Procedure

Mode of data collection

Face-to-face [f2f]

Research instrument

During this round, the following schedules of enquiry were canvassed: - Schedule 0.0 : list of households
- Schedule 1.0 : consumer expenditure (Type 1 and Type 2) - Schedule 10 : employment and unemployment

In the present round, Schedule 10 on employment-unemployment consists of 16 blocks.

The first three blocks, viz. Blocks 0, 1 and 2, are used to record identification of sample households and particulars of field operations, as is the common practice in usual NSS rounds. The last two blocks, viz., Blocks 10 and 11 are to record the remarks of investigator and comments by supervisory officer(s), respectively.

Block 3 will be used for recording the household characteristics, like household size, religion, social group, land possessed, land cultivated, etc. For the rural households information will also be collected, in Block 3, on whether the household has NREG job card, whether got work in NREG works during the last 365 days, number of days got work in NREG works and mode of payment of the wages earned in NREG works. Besides, some particulars about holding of specified Post Office accounts and use of specified Postal services will also be collected in this block.

Block 3.1 is for recording particulars of indebtedness of rural labour households.

Block 4 will be used for recording the demographic particulars and attendance in educational institutions of the household members. Particulars of vocational training being received/received by the household members will also be collected in this block.

In Block 5.1, particulars of usual principal activity of all the household members will be recorded along with some particulars of the enterprises in which the usual status workers (excluding those in crop and plantation activities) are engaged. In this block information for all the workers about the location of workplace will also be collected. For the self-employed persons who are working under specifications (wholly or mainly), information will also be collected about "who provided credit/raw materials/equipments", "basis of payment" and "number of outlets of disposal". Information on informal employment will also be collected in Block 5.1. Similarly, the particulars of one subsidiary economic activity of the household members along with some particulars of the enterprises, informal employment and details of the self-employed persons in their subsidiary activity will be recorded in Block 5.2. The daily time disposition for the seven days preceding the date of survey along with the corresponding activity particulars will be recorded for each household member in Block 5.3. Besides this, the current weekly status (CWS) will be derived from the daily time disposition data and will be recorded in this block. As in the past, wage and salary earnings and mode of payment will also be collected for regular salaried/wage employees and for the casual labourers in this block. Block 6 will be used to record the responses to the probing questions to the persons who were unemployed on all the seven days of the reference week.

Blocks 7.1 and 7.2 contain the probing questions which are related to the under-utilisation of labour time and labour mobility, respectively.

For the members of the household classified as engaged in 'domestic duties' as per their usual principal status, some follow-up questions have been framed and listed in Block 8, with a view to collecting some additional information which might explain as to whether their usual attachment to domestic duties was voluntary or involuntary and also to throw light on their participation in some specified activities for family gain.

A worksheet to obtain the total monthly household consumer expenditure has been provided in Block 9.