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
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	June 5, 2024
Metadata last updated	June 5, 2024
Created	unknown
Format	CSV
License	No License Provided
Created	8 months ago
Frequency	Decadal
Size	324,924
Additional info	nan
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	The Census PCA Demography - Districts data for Meghalaya offers several insights, including:1. Regional differences in employment and demographics across states and districts, highlighting more prosperous regions versus those requiring developmental attention.2. Gender disparities in employment and literacy levels, enabling analysis of gender dynamics in the workforce.3. The relationship between literacy levels and employment status, social group insights, and age dynamics can be examined to gain a comprehensive understanding of the demographic composition of the district.
Data last updated	2,011
Data retreival date	6/23/2022
Datastore active	True
District no	11
Granularity	Village
Has views	True
Id	4b708c72-f60d-456a-865f-2ee11d2de70d
Idp ready	True
Methodology	The data is collected as part of the national census conducted by the Government of India. Enumerators are trained and deployed across the country to gather detailed demographic information at the household level, which is then aggregated and reported at various administrative divisions, including at the district level. This particular dataset focuses on the working dynamics of the population, capturing the intricacies of employment, unemployment, and the nature of jobs people are engaged in.
No indicators	1
Package id	ef726171-b797-44a5-a2d5-3a1eef1a044f
Position	0
Sku	moha-census_pca_demography-dt-dc-meg
State	active
States uts no	1
Url type	upload
Years covered	2,011
Methodology	The data is collected as part of the national census conducted by the Government of India. Enumerators are trained and deployed across the country to gather detailed demographic information at the household level, which is then aggregated and reported at various administrative divisions, including at the district level. This particular dataset focuses on the working dynamics of the population, capturing the intricacies of employment, unemployment, and the nature of jobs people are engaged in.
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-dt-dc-meg
Dataset Frequency
Years Covered	2011
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 - Districts data for Meghalaya offers several insights, including:1. Regional differences in employment and demographics across states and districts, highlighting more prosperous regions versus those requiring developmental attention.2. Gender disparities in employment and literacy levels, enabling analysis of gender dynamics in the workforce.3. The relationship between literacy levels and employment status, social group insights, and age dynamics can be examined to gain a comprehensive understanding of the demographic composition of the district.
IDP Ready	Yes