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letrinhan/vn-provinces-average-population

Vietnam provinces average population by sex and residence Mid-year average population (thousand persons) by total, male, female, urban and rural. Coverage 1995-2024. Includes historical Ha Tay through 2007. Year 2024 is preliminary. 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)… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-average-population.

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Dataset Card

Vietnam provinces average population by sex and residence

Mid-year average population (thousand persons) by total, male, female, urban and rural. Coverage 1995-2024. Includes historical Ha Tay through 2007. Year 2024 is preliminary. 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 (1876 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: Dan so trung binh phan theo dia phuong, gioi tinh va thanh thi nong thon. 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_average_population,
  title = {Vietnam provinces average population by sex and residence},
  author = {{National Statistics Office of Vietnam}},
  note = {Unit: thousand persons. Columns: population_total, population_male, population_female, population_urban, population_rural.},
  year = {2024}
}

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