Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State Code

ID
district_name
Type
text
Label
District Name

ID
district_code
Type
text
Label
District Code

ID
sub_district_name
Type
text
Label
Sub_District Name

ID
sub_district_code
Type
text
Label
Sub_District Code

ID
block_name
Type
text
Label
Block Name

ID
block_code
Type
text
Label
Block Code

ID
rural_urban
Type
text
Label
Type of Area

ID
level
Type
text
Label
Level

ID
gender
Type
text
Label
Gender

ID
age
Type
text
Label
Age

ID
social_group
Type
text
Label
Social Group

ID
literacy
Type
text
Label
Literacy

ID
working_status
Type
text
Label
Working Status

ID
worker_type
Type
text
Label
Worker Type

ID
occupation
Type
text
Label
Occupation

ID
population
Type
numeric
Label
Population

Additional Information

Field Value
Data last updated October 16, 2023
Metadata last updated August 22, 2024
Created October 16, 2023
Format CSV
License No License Provided
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:Distribution of main workers, marginal workers, and non-workers across different states, districts, and blocks.Analysis of the population seeking/available for work based on age and gender.Literacy rates among different worker types and social groups.Occupation trends across various demographic groups.Understanding of the distribution of the population based on rural or urban settings.Gender-based analysis of different working statuses, occupations, and literacy rates.Insights into the distribution of different social groups in the working population.Age-wise distribution of the workforce, including those seeking employment.
Data last updated2,011
Data retreival date6/23/2022
Datastore activeTrue
District no729
FrequencyDecadal
GranularityVillage
Has viewsTrue
Id80a2520f-40ae-4cbc-8ee5-bead9ae81ace
Idp readyTrue
Lgd mappingyes
MethodologyThe dataset is derived from the Population Census, an extensive exercise conducted by the Government of India to count and characterize its population. The data collection process is standardized, with enumerators visiting households and collecting data on various aspects of the population, including their working status. This particular subset focuses on classifying the working population based on the criteria mentioned in the data columns.
No indicators1
Package id2a41af7b-7922-4d8f-83c9-d5ebcb8a5f54
Position2
Size268.7 MiB
Skumoha-census_pca_demography-bl-dc-abc
Stateactive
States uts no36
Tehsil no7,127
Url typeupload
Years covered2,011
Methodology The dataset is derived from the Population Census, an extensive exercise conducted by the Government of India to count and characterize its population. The data collection process is standardized, with enumerators visiting households and collecting data on various aspects of the population, including their working status. This particular subset focuses on classifying the working population based on the criteria mentioned in the data columns.
Indicators
Similar Resources
Granularity Level Village
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-bl-dc-abc
Dataset Frequency Decadal
Years Covered 2011.0
No of States/UT(s) 36
No of Districts 729
No of Tehsils/blocks 7127
No of Gram Panchayats
Additional Information
Number of Indicators 1
Insights from the dataset Data Insights that can be drawn:Distribution of main workers, marginal workers, and non-workers across different states, districts, and blocks.Analysis of the population seeking/available for work based on age and gender.Literacy rates among different worker types and social groups.Occupation trends across various demographic groups.Understanding of the distribution of the population based on rural or urban settings.Gender-based analysis of different working statuses, occupations, and literacy rates.Insights into the distribution of different social groups in the working population.Age-wise distribution of the workforce, including those seeking employment.
IDP Ready Yes
LGD Mapping Yes