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letrinhan/vn-provinces-doctors

Vietnam doctors by locality Vietnam number of doctors by province/region, 2018-2022. 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 Comparison Color key Files provinces (315 rows) data/provinces.csv data/provinces.dta data/provinces.xlsx regions (30 rows) data/regions.csv… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-doctors.

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Dataset Card

Vietnam doctors by locality

Vietnam number of doctors by province/region, 2018-2022. 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

[image]

Comparison

[image]

Color key

[image]

Files

provinces (315 rows)

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

regions (30 rows)

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

national (5 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: So bac si phan theo dia phuong. Cleaned long panel for research use.

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_doctors,
  title = {Vietnam doctors by locality},
  author = {{National Statistics Office of Vietnam}},
  note = {Unit: persons.},
  year = {2022}
}

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