Data Dictionary

Column Type Label Description
id int4 index
year text Financial Year
state_name text State Name
state_code text State Code
candidates_trained numeric Cumulative candidates trained till given Financial Year
candidates_assessed numeric Cumulative candidates assesed till given Financial Year
candidates_placed numeric Cumulative candidates placed till given Financial Year

Additional Information

Field Value
Data last updated June 25, 2024
Metadata last updated June 25, 2024
Created June 25, 2024
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://dashboard.rural.nic.in/dashboardnew/ddugky.aspx
Data insightsTrends in Training: You can analyze how the number of candidates trained has changed over the years. This can help in understanding the program's growth and impact.Assessment Efficiency: Calculate the ratio of candidates assessed to candidates trained. This can provide insights into the effectiveness of the assessment process.Placement Success: Analyze the placement rate by calculating the ratio of candidates placed to candidates trained. This can indicate how successful the program is in helping candidates find employment.Regional Disparities: Compare the performance of different states by looking at the number of candidates trained, assessed, and placed. Identify states with higher or lower participation and success rates.Yearly Progress: Examine how the program has evolved each year. Are more candidates being trained and placed? Are certain states showing significant improvements?Correlation Analysis: Explore correlations between variables. For example, does a higher number of assessments lead to more placements? Are there any factors influencing these relationships?Benchmarking: Compare the program's performance with national or regional employment statistics to assess its impact on youth employment in the state.Targeted Interventions: Identify states or regions with lower placement rates and consider targeted interventions to improve outcomes in those areas.Long-Term Impact: Track candidates' long-term outcomes by analyzing their employment stability and career progression after placement.
Data last updated2,023
Data retreival date2023-09-18 00:00:00
Datastore activeTrue
FrequencyYearly
GranularityState
Has viewsTrue
Id097b9ee3-b58e-4752-b40e-0175d3c32767
Idp readyTrue
MethodologyThe data for the Deen Dayal Upadhyaya Grameen Kaushalya Yojana (DDUGKY) is collected and maintained by the Ministry of Rural Development. The data collection process follows a state-level granularity, meaning that information is gathered and recorded at the level of individual states within India.On a yearly basis, the Ministry of Rural Development collaborates with relevant departments and agencies in each state to compile comprehensive statistics regarding the implementation and outcomes of the DDUGKY program. This process involves the deployment of surveys, interviews, and assessments designed to capture key metrics related to skill development initiatives and employment outcomes targeted at the youth population.The data collection methodology employed by the Ministry aims to provide a detailed and accurate account of the program's impact across various states, offering valuable insights into the effectiveness and reach of the Deen Dayal Upadhyaya Grameen Kaushalya Yojana in addressing youth empowerment and skill development within rural areas of India.
No indicators3
Package id73210d20-1a7e-48ef-b9d7-ceb4bb00a46f
Position0
Size661 bytes
Skumord-ddugky_progress_report-st-yr-him
Stateactive
States uts no1
Url typeupload
Years covered2018-2023
Methodology The data for the Deen Dayal Upadhyaya Grameen Kaushalya Yojana (DDUGKY) is collected and maintained by the Ministry of Rural Development. The data collection process follows a state-level granularity, meaning that information is gathered and recorded at the level of individual states within India.On a yearly basis, the Ministry of Rural Development collaborates with relevant departments and agencies in each state to compile comprehensive statistics regarding the implementation and outcomes of the DDUGKY program. This process involves the deployment of surveys, interviews, and assessments designed to capture key metrics related to skill development initiatives and employment outcomes targeted at the youth population.The data collection methodology employed by the Ministry aims to provide a detailed and accurate account of the program's impact across various states, offering valuable insights into the effectiveness and reach of the Deen Dayal Upadhyaya Grameen Kaushalya Yojana in addressing youth empowerment and skill development within rural areas of India.
Similar Resources
Granularity Level State
Data Extraction Page https://dashboard.rural.nic.in/dashboardnew/ddugky.aspx
Data Retreival Date 2023-09-18 00:00:00
Data Last Updated 2023
Sku mord-ddugky_progress_report-st-yr-him
Dataset Frequency Yearly
Years Covered 2018-2023
No of States/UT(s) 1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 3
Insights from the dataset Trends in Training: You can analyze how the number of candidates trained has changed over the years. This can help in understanding the program's growth and impact.Assessment Efficiency: Calculate the ratio of candidates assessed to candidates trained. This can provide insights into the effectiveness of the assessment process.Placement Success: Analyze the placement rate by calculating the ratio of candidates placed to candidates trained. This can indicate how successful the program is in helping candidates find employment.Regional Disparities: Compare the performance of different states by looking at the number of candidates trained, assessed, and placed. Identify states with higher or lower participation and success rates.Yearly Progress: Examine how the program has evolved each year. Are more candidates being trained and placed? Are certain states showing significant improvements?Correlation Analysis: Explore correlations between variables. For example, does a higher number of assessments lead to more placements? Are there any factors influencing these relationships?Benchmarking: Compare the program's performance with national or regional employment statistics to assess its impact on youth employment in the state.Targeted Interventions: Identify states or regions with lower placement rates and consider targeted interventions to improve outcomes in those areas.Long-Term Impact: Track candidates' long-term outcomes by analyzing their employment stability and career progression after placement.
IDP Ready Yes