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
typ_residence
Type
text
Label
Residence type of worker either rural or urban

ID
worker_type
Type
text
Label
Type of worker

ID
hindu
Type
numeric
Label
Number of hindu workers

ID
muslim
Type
numeric
Label
Number of muslim workers

ID
jain
Type
numeric
Label
Number of jain workers

ID
sikh
Type
numeric
Label
Number of sikh workers

ID
christian
Type
numeric
Label
Number of christian workers

ID
buddhist
Type
numeric
Label
Number of buddhist workers

ID
zoroastrian
Type
numeric
Label
Number of zoroastrian workers

ID
other_religion
Type
numeric
Label
Number of workers following other religions

ID
sc_workers
Type
numeric
Label
Number of Scheduled Caste ( SCs) workers

ID
st_workers
Type
numeric
Label
Number of Scheduled Tribe ( STs ) workers

ID
obc_workers
Type
numeric
Label
number of Other Backward Caste ( OBCs ) workers

ID
no_schooling
Type
numeric
Label
Number of workers who never attended school

ID
edu_below_primary
Type
numeric
Label
Number of workers educated below primary school

ID
edu_primary
Type
numeric
Label
Number of workers educated up to primary school

ID
edu_middle
Type
numeric
Label
Number of workers educated up to middle school

ID
edu_high_or_secondary
Type
numeric
Label
Number of workers educated up to high school or secondary

ID
edu_higher_secondary
Type
numeric
Label
Number of workers educated up to higher secondary school

ID
edu_grad_above
Type
numeric
Label
Number of workers educated up to Graduation and above

ID
have_bank_acct
Type
numeric
Label
Number of workers with bank account

ID
having_aadhar
Type
numeric
Label
Number of workers with Aadhar card

ID
part_time_worker
Type
numeric
Label
Number of part time workers

ID
full_time_worker
Type
numeric
Label
Number of full-time workers

ID
independent_worker
Type
numeric
Label
Number of independent workers

ID
wrk_under_master_weaver
Type
numeric
Label
Number of workers under master weaver

ID
wrk_undr_khadi_vlg_indust_cmsn_boards
Type
numeric
Label
Number of workers under khadi and village industries commission board

ID
wrk_undr_state_handloom_develp_corp
Type
numeric
Label
Number of workers under state handloom development corporation

ID
working_days
Type
numeric
Label
Number of working days

ID
avg_working_days
Type
numeric
Label
Average number of working days

Additional Information

Field Value
Data last updated November 20, 2024
Metadata last updated November 20, 2024
Created October 29, 2023
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttp://handlooms.nic.in/assets/img/Statistics/3736.pdf
Data insightsThe dataset paints a vivid picture of India's allied and handloom workforce, capturing their diverse religious, educational, and caste backgrounds. It distinguishes between rural and urban workers, offering a nuanced understanding of their social fabric. Additionally, the data highlights workers' financial inclusion, showcasing their access to banking services and Aadhar cards. These insights are invaluable for informed decision-making and targeted interventions in this sector.
Data last updated2,019
Data retreival date3.06.2022
Datastore activeTrue
FrequencyOther
GranularityState
Has viewsTrue
Ide7f0a760-1045-4722-a544-77edd267cb32
Idp readyTrue
Lgd mappingyes
MethodologyThe methodology encompassed pre-field activities such as pilot studies and questionnaire approval, followed by meticulous field planning and control during data collection. Post-field, there was a thorough check on information quality and internal feedback processing. Data finalization involved revisiting villages, sharing data on a public portal, and manual name translation for distribution purposes.
Mimetypetext/csv
No indicators28
Package id3cdbdaf4-8a1b-4ee8-a996-52b6c6d81c74
Position2
Size30.1 KiB
Skumot-handloom_census-st-dc-aaa
Stateactive
States uts no36
Tags['Handloom', 'Handloom worker social category', 'Handloom', 'allied worker education', 'aadhar']
Url typeupload
Years covered2019-2020
Methodology The methodology encompassed pre-field activities such as pilot studies and questionnaire approval, followed by meticulous field planning and control during data collection. Post-field, there was a thorough check on information quality and internal feedback processing. Data finalization involved revisiting villages, sharing data on a public portal, and manual name translation for distribution purposes.
Indicators
Similar Resources
Granularity Level State
Data Extraction Page http://handlooms.nic.in/assets/img/Statistics/3736.pdf
Data Retreival Date 3.06.2022
Data Last Updated 2019
Sku mot-handloom_census-st-dc-aaa
Dataset Frequency Other
Years Covered 2019-2020
No of States/UT(s) 36
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 28
Insights from the dataset The dataset paints a vivid picture of India's allied and handloom workforce, capturing their diverse religious, educational, and caste backgrounds. It distinguishes between rural and urban workers, offering a nuanced understanding of their social fabric. Additionally, the data highlights workers' financial inclusion, showcasing their access to banking services and Aadhar cards. These insights are invaluable for informed decision-making and targeted interventions in this sector.
IDP Ready Yes
LGD Mapping Yes