Special economic zones

Information on special economic zones have been individually collected and researched in a study focusing on the governance of SEZ. This is just a subset (586) of the extant global SEZs, which have been estimated at 3500-4000.

worldbank.org-sez-1.1.1. Modified 2021-07-12T20:47:42

Resources | Packages | Documentation| Contacts| Data Dictionary

Resources

• sez. Special Economic Zones

Documentation

Documentation Links

• Documentation Page
• Dataset webpage
• Dataset viewer web application

Contacts

• Wrangler

  Eric Busboom, Civic Knowledge

Data Dictionary

sez

sez

Column Name	Data Type	Description
id	integer
unique_id	string
check	string
latitude	number
longitude	number
country_code	string
country_type_combo	string
region	string
country	string
zone_type	string
zone_name	text
operational_date	text
size	string
management_type	string
management_company	text
legal_framework	text
legalframework_type	string
legalframework_year	string
regulatory_authority	string
authority_independence	string
private_participation	string
private_participation2	string
developer_incentive	string
decade_ofoperation	string
size_range	string
standard_corptax	string
corptax_type	string
corptax_exemp	string
corptax_duration	string
corptax_grace	string
total_duration	string
duration_type	string
investment_min	string
export_min	string
req_other	string
importduty_type	string
importduty_input	string
input_duration	string
importduty_capex	string
capex_duration	string
repatriation	string
capital_gains	string
withholding	string
property_land	string
vat_sales	string
employment	string
other	string
nearest_port	string
nearest_portdist	integer
nearest_airport	text
nearest_airportdist	integer
populous_city	string
populous_citydist	integer
city_1m	string
city_1mdist	integer
city_500k	string
city_500kdist	integer
500kcity_range	string
city_300k	string
city_300kdist	integer
note	string
geometry	string

Packages

• s3 s3://library.metatab.org/worldbank.org-sez-1.1.1.csv
• csv http://library.metatab.org/worldbank.org-sez-1.1.1.csv
• source https://github.com/sandiegodata-projects/chartercitiesinstitute.org-sez

Accessing Data in Vanilla Pandas

import pandas as pd


sez_df =  pd.read_csv('http://library.metatab.org/worldbank.org-sez-1.1.1/data/sez.csv')

Accessing Package in Metapack

import metapack as mp
pkg = mp.open_package('http://library.metatab.org/worldbank.org-sez-1.1.1.csv')

# Create Dataframes
sez_gdf = pkg.resource('sez').geoframe()