Data Dictionary

Column Type Label Description
id int4 index
year text Year
quarter text Quarter
state_name text State Name
num_blocks_surveyed numeric Blocks Surveyed
households numeric Households
males_age_0_4_years numeric Males 0 to 4 years age
females_age_0_4_years numeric Females 0 to 4 years age
persons_age_0_4_years numeric Persons 0 to 4 years age
males_age_5_14_years numeric Males 5 to 14 years age
females_age_5_14_years numeric Females 5 to 14 years age
persons_age_5_14_years numeric Persons 5 to 14 years age
males_age_15_29_years numeric Males 15 to 29 years age
females_age_15_29_years numeric Females 15 to 29 years age
persons_age_15_29_years numeric Persons 15 to 29 years age
males_age_15_59_years numeric Males 15 to 59 years age
females_age_15_59_years numeric Females 15 to 59 years age
persons_age_15_59_years numeric Persons 15 to 59 years age
males_age_15_above_years numeric Males 15 and above years age
females_age_15_above_years numeric Females 15 and above years age
persons_age_15_above_years numeric Persons 15 and above years age
males_all_ages numeric Males all ages
females_all_ages numeric Females all ages
persons_all_ages numeric Persons all ages
state_code text State Code

Additional Information

Field Value
Data last updated December 2, 2024
Metadata last updated December 3, 2024
Created December 2, 2024
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://www.mospi.gov.in/download-reports?main_cat=ODU5&cat=All&sub_category=All
Data insightsSome potential insights that can be derived from this dataset include:Demographic Distribution: Analysis of the distribution of the population across different age groups and genders. Household Statistics: Insights into the average number of households surveyed. Age and Gender Trends: Understanding the population structure by examining the proportion of males and females in various age brackets.Survey Coverage: Insights into the extent of survey coverage based on the number of blocks surveyed.
Data last updated02-08-2024
Data retreival date02-08-2024
Datastore activeTrue
District no0
FrequencyQuarterly
Gp no0
GranularityState
Has viewsTrue
Idc4cb119b-4d4f-4ef0-aee2-8d46c7f06636
Idp readyTrue
MethodologyThe data was collected as part of the Periodic Labour Force Survey (PLFS), which is an ongoing survey conducted by the Ministry of Statistics and Programme Implementation. The survey aims to provide comprehensive data on labor force statistics in India.
No indicators20
Package idd24094d3-0c6d-4cc9-9788-1fc6f78c2e99
Position1
Size4.2 KiB
Skumospi-plfs_persons_surveyed-st-qt-him
Stateactive
States uts no1
Tehsil no0
Url typeupload
Years covered2018-2023
Methodology The data was collected as part of the Periodic Labour Force Survey (PLFS), which is an ongoing survey conducted by the Ministry of Statistics and Programme Implementation. The survey aims to provide comprehensive data on labor force statistics in India.
Similar Resources
Granularity Level State
Data Extraction Page https://www.mospi.gov.in/download-reports?main_cat=ODU5&cat=All&sub_category=All
Data Retreival Date 02-08-2024
Data Last Updated 02-08-2024
Sku mospi-plfs_persons_surveyed-st-qt-him
Dataset Frequency Quarterly
Years Covered 2018-2023
No of States/UT(s) 1
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Additional Information nan
Number of Indicators 20
Insights from the dataset Some potential insights that can be derived from this dataset include:Demographic Distribution: Analysis of the distribution of the population across different age groups and genders. Household Statistics: Insights into the average number of households surveyed. Age and Gender Trends: Understanding the population structure by examining the proportion of males and females in various age brackets.Survey Coverage: Insights into the extent of survey coverage based on the number of blocks surveyed.
IDP Ready Yes