Dicionário de Dados

ID
id
Tipo
int4
Rótulo
index

ID
year
Tipo
text
Rótulo
Year

ID
state_name
Tipo
text
Rótulo
State Name

ID
state_code
Tipo
text
Rótulo
State Code

ID
rural_urban
Tipo
text
Rótulo
Type of Area

ID
level
Tipo
text
Rótulo
Level

ID
gender
Tipo
text
Rótulo
Gender

ID
age
Tipo
text
Rótulo
Age

ID
social_group
Tipo
text
Rótulo
Social Group

ID
literacy
Tipo
text
Rótulo
Literacy

ID
working_status
Tipo
text
Rótulo
Working Status

ID
worker_type
Tipo
text
Rótulo
Worker Type

ID
occupation
Tipo
text
Rótulo
Occupation

ID
population
Tipo
numeric
Rótulo
Population

Informações Adicionais

Campo Valor
Dados atualizados pela última vez 16 de outubro de 2023
Metadados atualizados pela última vez 19 de dezembro de 2025
Criado 16 de outubro de 2023
Formato CSV
Licença Nenhuma Licença Fornecida
Data dict{'additional_info': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-10-16T09:26:08.335721', 'data_extraction_page': 'B-01: Main workers, marginal workers, non-workers and those marginal workers, non-workers seeking/available for work classified by age and sex', 'data_insights': 'Data Insights that can be drawn:Demographic Distribution: Analyze the distribution of the population across states, rural vs. urban areas, and different age groups.Gender Disparity: Evaluate differences in working status, occupation, and literacy based on gender.Employment Overview: Understand the distribution of main workers, marginal workers, non-workers, and those seeking jobs, allowing policymakers to assess employment and unemployment rates.Occupational Analysis: Gain insights into popular occupations across different states and decipher trends across rural and urban landscapes.Literacy and Employment: Investigate the relationship between literacy levels and working status or occupation.Social Group Dynamics: Analyze employment, literacy, and demographic trends across different social groups.', 'data_last_updated': '2011', 'data_retreival_date': '6/23/2022', 'datastore_active': True, 'description': 'The "Census PCA Demography - States" dataset provides comprehensive details regarding the working status, occupation, and demographic characteristics of the Indian population, based on state-wise data sourced from the official Indian Census website. The dataset showcases a combination of both categorical and numeric data, shedding light on the distribution of main workers, marginal workers, non-workers, and those seeking/available for work across various parameters such as age, gender, literacy, and social groupings. Additionally, this dataset distinguishes its records based on rural or urban settings.', 'district_no': '', 'format': 'CSV', 'frequency': 'Decadal', 'gp_no': '', 'granularity': 'State', 'hash': '', 'id': 'ed2203bf-e493-4b6a-a0ab-d343d4369687', 'idp_ready': True, 'last_modified': '2023-10-16T09:26:08.305475', 'lgd_mapping': 'yes', 'metadata_modified': '2024-08-22T10:11:01.791465', 'methodology': "The data is sourced directly from the official Census India website. The Census of India follows a decennial pattern, collecting detailed demographic and occupational data from households across different states. Enumerators are trained and employed to gather this data, ensuring accuracy and comprehensive coverage. Once the raw data is obtained, it's processed and classified into categories like main workers, marginal workers, etc., before being made available to the public.", 'mimetype': None, 'mimetype_inner': None, 'name': 'Census PCA Demography - States', 'no_indicators': '1', 'package_id': '2a41af7b-7922-4d8f-83c9-d5ebcb8a5f54', 'position': 0, 'resource_type': None, 'similar_resources': '', 'size': 1084390, 'sku': 'moha-census_pca_demography-st-dc-abc', 'state': 'active', 'states_uts_no': '36', 'tehsil_no': '', 'url': 'https://ckandev.indiadataportal.com/dataset/2a41af7b-7922-4d8f-83c9-d5ebcb8a5f54/resource/ed2203bf-e493-4b6a-a0ab-d343d4369687/download/census-pca-demography-states.csv', 'url_type': 'upload', 'years_covered': '2011.0'}
Data extraction pageB-01: Main workers, marginal workers, non-workers and those marginal workers, non-workers seeking/available for work classified by age and sex
Data insightsData Insights that can be drawn:Demographic Distribution: Analyze the distribution of the population across states, rural vs. urban areas, and different age groups.Gender Disparity: Evaluate differences in working status, occupation, and literacy based on gender.Employment Overview: Understand the distribution of main workers, marginal workers, non-workers, and those seeking jobs, allowing policymakers to assess employment and unemployment rates.Occupational Analysis: Gain insights into popular occupations across different states and decipher trends across rural and urban landscapes.Literacy and Employment: Investigate the relationship between literacy levels and working status or occupation.Social Group Dynamics: Analyze employment, literacy, and demographic trends across different social groups.
Data last updated2.011
Data retreival date6/23/2022
Datastore activeTrue
FrequencyDecadal
Geo columns['state_code']
GranularityState
Has viewsTrue
Ided2203bf-e493-4b6a-a0ab-d343d4369687
Idp readyTrue
Lgd mappingyes
MethodologyThe data is sourced directly from the official Census India website. The Census of India follows a decennial pattern, collecting detailed demographic and occupational data from households across different states. Enumerators are trained and employed to gather this data, ensuring accuracy and comprehensive coverage. Once the raw data is obtained, it's processed and classified into categories like main workers, marginal workers, etc., before being made available to the public.
No indicators1
Package id2a41af7b-7922-4d8f-83c9-d5ebcb8a5f54
Position0
Size1 MiB
Skumoha-census_pca_demography-st-dc-abc
Stateactive
States uts no36
Url typeupload
Years covered2.011
Methodology The data is sourced directly from the official Census India website. The Census of India follows a decennial pattern, collecting detailed demographic and occupational data from households across different states. Enumerators are trained and employed to gather this data, ensuring accuracy and comprehensive coverage. Once the raw data is obtained, it's processed and classified into categories like main workers, marginal workers, etc., before being made available to the public.
Indicators
Similar Resources
Granularity Level State
Data Extraction Page B-01: Main workers, marginal workers, non-workers and those marginal workers, non-workers seeking/available for work classified by age and sex
Data Retreival Date 6/23/2022
Data Last Updated 2011
Sku moha-census_pca_demography-st-dc-abc
Dataset Frequency Decadal
Years Covered 2011.0
No of States/UT(s) 36
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Informações Adicionais
Number of Indicators 1
Insights from the dataset Data Insights that can be drawn:Demographic Distribution: Analyze the distribution of the population across states, rural vs. urban areas, and different age groups.Gender Disparity: Evaluate differences in working status, occupation, and literacy based on gender.Employment Overview: Understand the distribution of main workers, marginal workers, non-workers, and those seeking jobs, allowing policymakers to assess employment and unemployment rates.Occupational Analysis: Gain insights into popular occupations across different states and decipher trends across rural and urban landscapes.Literacy and Employment: Investigate the relationship between literacy levels and working status or occupation.Social Group Dynamics: Analyze employment, literacy, and demographic trends across different social groups.
IDP Ready Yes
LGD Mapping Yes
Mapping Status %
Geo Columns ['state_code']