Data catalogue

29 results for “Employment”

• Ministry of Labour and Employment

  Investment Projects — PAIMANA project costs and spending

  9 projects in the 2026-09 PAIMANA report

  ministry

• PMEGP margin money, employment and bank loans — not machine-readable

  India MSME

  MSME PMEGP margin money, employment and bank loans https://dashboard.msme.gov.in/pmegp.aspx returned HTTP 500 — broken upstream, not a parsing failure

  gap

• asi official employment size

  MoSPI Extended — CPI items, NAS tables, State GDP, PLFS

  Official ASI whole-factory-sector size-class shares, wages and productivity. measure=inventory|factory_share|tpe_share|wages_per_worker|nva_per_person. Independent inventory reads official detailed Summary catalogue and PDF bytes; distinct from newer headline factsheets. Metrics preserve exact native size classes, units, denominators, period/window and publisher hash. Unknown or corrected detailed

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• central minimum wages vda

  Rural Wages & Payroll

  Central-sphere minimum wages with Variable Dearness Allowance (Chief Labour Commissioner (Central)), from the half-yearly VDA orders (2021 → Oct 2025; April 2006 too): basic + VDA = total rate per day, by scheduled employment (agriculture, mines, construction, loading/unloading, sweeping/cleaning, watch & ward), worker category and area A/B/C (or mines below/above ground). Only cells whose printed

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• eshram registrations

  Rural Wages & Payroll

  e-Shram unorganised-worker registrations (Ministry of Labour & Employment), read live from the e-Shram dashboard's public Power BI report: cumulative registrations as of the report's last refresh, by state, district, sector, occupation, gender, age, social category, gig-worker flag, or registration date (the publisher's own daily grouping), or the national total.

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• ilostat

  World Trade, Value Chains & Development

  ILOSTAT native series through the ILO SDMX API (sdmx.ilo.org): labour force, employment, unemployment, LFPR, earnings, hours, informality, … by sex, age, education, activity, occupation and rural/urban, from national surveys (India: PLFS) and ILO modelled estimates. WDI only carries the modelled copies; this is the source.

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• labour compendium catalogue

  Rural Wages & Payroll

  Tables of Labour Bureau's Indian Labour Statistics (source='ils': editions 2025 and 2022-23 — industrial disputes, strikes/lockouts, mandays lost, factory/plantation/mines employment, injuries, absenteeism, labour turnover, minimum wages (Table 3.6/3.7), ESI/EPF coverage, employment exchanges…) and of the Quarterly Employment Survey reports (source='qes_2021': AQEES rounds 1-6, 2021-22; 'qes_2016'

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• penn world table

  World Trade, Value Chains & Development

  Penn World Table 11.0 (GGDC, 185 countries, 1950-2023) for growth accounting: real GDP at PPPs and national prices, capital stock and services, TFP, human capital, employment, hours, labour share, depreciation, price levels; or the Maddison Project Database 2023 (dataset='maddison': GDP per capita in 2011 $ and population over the long run). Third-party research compilations.

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• tourism satellite account

  Foreign Tourist Arrivals, Visits & Earnings

  Tourism's share of GVA, GDP and jobs from India's Tourism Satellite Accounts (Ministry of Tourism, prepared by NCAER): direct share, direct + indirect share and the multipliers. geography: 'India' (Second TSA 2009-10 and Third TSA 2015-16) or a State/UT (Regional TSAs 2015-16, e.g. 'Kerala', 'Goa'); omit for all. measure: e.g. tdgva_share_gva_direct_pct, tdgva_share_gva_total_pct, employment_share

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• fred releases

  FRED — every series, full history, ALFRED vintages

  List FRED releases (the publisher's data releases, e.g. 'Employment Situation', 'H.15 Selected Interest Rates') with their source agencies, series counts and the archive's per-release coverage (bulk observation pages done/pending).

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• eurostat series

  Global Macro & Markets

  Any Eurostat dataset through the dissemination API (JSON-stat): EU / euro-area GDP, HICP, unemployment, trade with India (ext_st_eu27_2020sitc: partner=IN) and thousands more.

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• asi official national characteristics

  MoSPI Extended — CPI items, NAS tables, State GDP, PLFS

  Official detailed ASI national series: inventory/employment/employment_per_factory/income_per_person. Native financial-year rows; separate independently read detailed-publication inventory. Preserves workers versus persons, operating factories versus registered factories, total emoluments versus wages, and explicitly reviewed native display precision. Unknown/corrected current PDFs refuse metrics

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• collections

  MoSPI Microdata

  The nine collections, with study, variable and record counts. Use a collection code to scope search_studies / search_variables: ASI (Annual Survey of Industries), PLFS (Periodic Labour Force Survey), CEXP (consumption expenditure), EUE (employment/unemployment), ECO (Economic Census), ENT (enterprises), LLS (land & livestock), IIP, OTH.

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• fred release calendar

  Release Calendar — when the next CPI, IIP, GDP and PLFS figures come out

  The FRED release calendar (St. Louis Fed): dates and times of US and international data releases — Consumer Price Index, Employment Situation, GDP, PCE / Personal Income and Outlays, Retail Sales, Industrial Production, JOLTS, Housing Starts, FOMC Press Release, H.4.1, H.8, Treasury and Fed rates, ECB rates, and ~160 more. Times are US Central Time. With `release`, also says each release's next sc

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• get data

  MoSPI (eSankhyiki)

  Fetches statistical data from a MoSPI dataset. This is the final step of the workflow. It requires filter values from get_metadata - filter codes are arbitrary (e.g., indicator_code=3 means "Unemployment Rate" in PLFS but something different in other datasets). All filter parameters including limit and page go inside the filters dict, not as top-level arguments. Step 4 of: list_datasets -> get_ind

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• get indicators

  MoSPI (eSankhyiki)

  Returns the full list of available indicators for a given dataset. Datasets often have broader coverage than expected - for example, ASI covers 57 indicators (capital structure, wages, employment, GVA, fuel consumption), and GENDER covers 154 indicators across health, education, labor, and crime. For PLFS and ASUSE, indicators are grouped by frequency_code: - PLFS frequency_code=1 (Annual): all 8

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• list datasets

  MoSPI (eSankhyiki)

  Returns an overview of all MoSPI statistical datasets with descriptions and coverage. This is the starting point - call this first to identify the right dataset. Pass user_query on this call and on every later step. It is the user's original question, stored for the engagement report and not included in the response. The API covers 500+ indicators across employment, prices, industry, national acco

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• mgnrega history

  Rural Schemes — MGNREGA, PMAY-G, Jal Jeevan, SBM-G, NRLM

  MGNREGS financial-year history 2008-09 to 2020-21 (the dashboards hold only the last six FYs). From the data.gov.in resources of the Ministry of Rural Development and MoSPI: person-days, households demanded / provided employment, average days per household, SC/ST/women person-days, works and expenditure (all-India 2008-09 to 2012-13). Each row names its `resource` (overlapping vintages are side by

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• plfs report table

  MoSPI Extended — CPI items, NAS tables, State GDP, PLFS

  Any statement or appendix table of a PLFS report, as rows. Without `statement`, the report's statement catalogue. Serves S-mospi-plfs-vocational-training-annual (annual 2025, Statement 28/29, Tables 12–14) and S-mospi-plfs-occupation-employment-annual (Table 25: workers by NCO-2015 division/sub-division/group).

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• labour compendium table

  Rural Wages & Payroll

  One printed table from Indian Labour Statistics or a QES report, as laid out on the page: each row's printed label and its cells under the column header words printed above them. Args: key (e.g. 'ils_2025', 'ils_2022_23', 'aqees_r6', 'qes2_r7'), table ('Table 8.1'), page (when a table number recurs over several pages, pick one; default all), row_filter (words in the row label).

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Inventory snapshot 15 Nov 2026. Publisher dates and individual source checks can differ.