Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_name text State Name
state_code text State Code
district_name text District Name
district_code text District Code
sub_district_name text Sub_District Name
sub_district_code text Sub_District Code
block_name text Block Name
block_code text Block Code
rural_urban text Type of Area
level text Level
gender text Gender
age text Age
social_group text Social Group
literacy text Literacy
working_status text Working Status
worker_type text Worker Type
occupation text Occupation
population numeric Population

Additional Information

Field Value
Data last updated December 3, 2024
Metadata last updated December 3, 2024
Created unknown
Format CSV
License No License Provided
Created2 months ago
FrequencyDecadal
Media typetext/csv
Size1,179,532
Additional infonan
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 insightsThe Census PCA Demography - Blocks data for Meghalaya offers valuable insights, including: 1. Analyzing the distribution of main workers, marginal workers, and non-workers across different blocks, districts, and states. 2. Understanding the population seeking/available for work based on age and gender and identifying any trends or variations in the working population. 3. Examining literacy rates among different worker types and social groups to gain insights into the education levels within the workforce.
Data last updated2,011
Data retreival date6/23/2022
Datastore activeTrue
District no11
GranularityVillage
Has viewsTrue
Id818b17ca-22c4-408f-8c6f-84f427c7d07c
Idp readyFalse
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 idef726171-b797-44a5-a2d5-3a1eef1a044f
Position3
Skumoha-census_pca_demography-bl-dc-meg
Stateactive
States uts no1
Tags['Census', 'Demography', 'Workforce Analysis', 'Literacy', 'Social Groups', 'Rural-Urban Divide', 'Population Distribution', 'Geographic Distribution', 'Age Distribution']
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.
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-meg
Dataset Frequency
Years Covered 2011.0
No of States/UT(s) 1
No of Districts 11
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 1
Insights from the dataset The Census PCA Demography - Blocks data for Meghalaya offers valuable insights, including: 1. Analyzing the distribution of main workers, marginal workers, and non-workers across different blocks, districts, and states. 2. Understanding the population seeking/available for work based on age and gender and identifying any trends or variations in the working population. 3. Examining literacy rates among different worker types and social groups to gain insights into the education levels within the workforce.
IDP Ready No