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letrinhan/vn-provinces-trade-tourism-transport-master

Vietnam trade, tourism and transport master panel by locality Wide geo×year master joining 15 NSO Trade / Tourism / Transport locality packs: retail and services revenue, markets/supermarkets/shopping centers, travel agency revenue, passenger and freight transport volumes and turnover (road and inland waterway where published). Province names follow ar_core.vn_geo. Figures Hero Hero (continued) Comparison Color key Files provinces (1882 rows)… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-trade-tourism-transport-master.

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Dataset Card

Vietnam trade, tourism and transport master panel by locality

Wide geo×year master joining 15 NSO Trade / Tourism / Transport locality packs: retail and services revenue, markets/supermarkets/shopping centers, travel agency revenue, passenger and freight transport volumes and turnover (road and inland waterway where published). Province names follow arcore.vngeo.

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 (1882 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). Built by outer-joining trade, tourism and transport locality packs.

Method: outer-join leaf packs on geocode×year with English geo labels via arcore.vn_geo. Cleaning and joins are automated in this repository (Python).

Citation

bibtex
@misc{nso_vn_provinces_trade_tourism_transport_master,
  title = {Vietnam trade, tourism and transport master panel by locality},
  author = {{National Statistics Office of Vietnam}},
  year = {2024}
}

Built 2026-09-26 UTC.