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letrinhan/vn-provinces-maize-production

Vietnam provinces maize production Provincial and regional maize (ngo) production (thousand tons). Coverage 1995-2024. Year 2024 is preliminary. Includes historical Ha Tay through 2007 (dissolved into Ha Noi). Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system). Figures Hero Hero (continued) Comparison Color key… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-maize-production.

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Dataset Card

Vietnam provinces maize production

Provincial and regional maize (ngo) production (thousand tons). Coverage 1995-2024. Year 2024 is preliminary. Includes historical Ha Tay through 2007 (dissolved into Ha Noi). Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow arcore.vngeo (historical 63-province system).

Figures

Hero

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Hero (continued)

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Comparison

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Color key

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Files

provinces (1868 rows)

  • data/provinces.csv
  • data/provinces.dta
  • data/provinces.xlsx

regions (180 rows)

  • data/regions.csv
  • data/regions.dta
  • data/regions.xlsx

national (30 rows)

  • data/national.csv
  • data/national.dta
  • data/national.xlsx

Load

Stata:

stata
use "data/provinces.dta", clear

R:

r
df <- read.csv("data/provinces.csv")

SPSS: open the .xlsx or .csv file.

Source

National Statistics Office of Vietnam (NSO/GSO). Original table title: San luong ngo phan theo dia phuong. Cleaned long panel for research use. Geographic units are Vietnam provinces (and regions / national where present).

Raw originals

Unmodified upstream source files are under raw/ for verification (see raw/README.md). Clean tables remain under data/.

Citation

bibtex
@misc{nso_vn_provinces_maize_production,
  title = {Vietnam provinces maize production},
  author = {{National Statistics Office of Vietnam}},
  note = {Cleaned long panel. Unit: thousand tons.},
  year = {2024}
}

Built 2026-09-20 UTC.