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Handloom Households Demographics, Yarn And Dye...
The dataset elucidates on the demographic aspects, revealing details such as the type of residence and the distribution of weavers by gender.The data dives deep into the socio-economic facets, illustrating the living conditions, household ownership types, and the average household size. Additionally, it paints a picture of the financial dynamics of these households, their indebtedness, sources of loans, and the income brackets they fall into, both from handloom activities and overall sources. The dataset also sheds light on the types of yarns used, their sourcing, and the primary sales channels for handloom products
Informações Adicionais
| Campo | Valor |
|---|---|
| Dados atualizados pela última vez | 17 de janeiro de 2025 |
| Metadados atualizados pela última vez | 17 de janeiro de 2025 |
| Criado | 17 de janeiro de 2025 |
| Formato | CSV |
| Licença | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | http://handlooms.nic.in/assets/img/Statistics/3736.pdf |
| Data insights | This dataset provides intricate details about the handloom industry, offering a comprehensive view of variables like demographics, income, debts, yarn types, dye sources, and sales channels across different states and residence types over the years. By decoding these patterns, policymakers and researchers can design precise strategies. These insights are invaluable for empowering artisans, improving product quality, and expanding market presence. Utilizing this data-driven approach not only uplifts livelihoods but also ensures the preservation and prosperity of the traditional handloom craft. |
| Data last updated | 2.020 |
| Data retreival date | 15.06.2022 |
| Datastore active | False |
| Frequency | Other |
| Granularity | State |
| Has views | True |
| Id | ad23eb1e-90b8-44e0-9380-3e94f220b827 |
| Idp ready | False |
| Methodology | Pre-Field Activities involve a pilot study, questionnaire approval, district data mapping, mobile app finalization, and training of trainers and enumerators. During Field Activities focus on fieldwork execution, quality control staff training, and progress monitoring via an MIS portal. Post Field Activities ensure data accuracy and quality, and introduce an online validation portal for officials. Data Finalization includes revisiting villages for comprehensive data, public data sharing, detailed analysis, and the translation of names for PICs distribution. |
| Mimetype | text/csv |
| No indicators | 0 |
| Package id | 3cdbdaf4-8a1b-4ee8-a996-52b6c6d81c74 |
| Position | 3 |
| Size | 38 KiB |
| Sku | mot-handloom_census-st-dc-ddd |
| State | active |
| States uts no | 36 |
| Url type | upload |
| Years covered | 2019-2020 |
| Methodology | Pre-Field Activities involve a pilot study, questionnaire approval, district data mapping, mobile app finalization, and training of trainers and enumerators. During Field Activities focus on fieldwork execution, quality control staff training, and progress monitoring via an MIS portal. Post Field Activities ensure data accuracy and quality, and introduce an online validation portal for officials. Data Finalization includes revisiting villages for comprehensive data, public data sharing, detailed analysis, and the translation of names for PICs distribution. |
| Indicators | |
| Similar Resources | |
| Granularity Level | State |
| Data Extraction Page | http://handlooms.nic.in/assets/img/Statistics/3736.pdf |
| Data Retreival Date | 15.06.2022 |
| Data Last Updated | 2020 |
| Sku | mot-handloom_census-st-dc-ddd |
| Dataset Frequency | Other |
| Years Covered | 2019-2020 |
| No of States/UT(s) | 36 |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Informações Adicionais | nan |
| Number of Indicators | 0 |
| Insights from the dataset | This dataset provides intricate details about the handloom industry, offering a comprehensive view of variables like demographics, income, debts, yarn types, dye sources, and sales channels across different states and residence types over the years. By decoding these patterns, policymakers and researchers can design precise strategies. These insights are invaluable for empowering artisans, improving product quality, and expanding market presence. Utilizing this data-driven approach not only uplifts livelihoods but also ensures the preservation and prosperity of the traditional handloom craft. |
| IDP Ready | No |
| LGD Mapping | |
| Mapping Status % | |
| Geo Columns |