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

Contacts

Data Dictionary

sez

sez

Column NameData TypeDescription
idinteger
unique_idstring
checkstring
latitudenumber
longitudenumber
country_codestring
country_type_combostring
regionstring
countrystring
zone_typestring
zone_nametext
operational_datetext
sizestring
management_typestring
management_companytext
legal_frameworktext
legalframework_typestring
legalframework_yearstring
regulatory_authoritystring
authority_independencestring
private_participationstring
private_participation2string
developer_incentivestring
decade_ofoperationstring
size_rangestring
standard_corptaxstring
corptax_typestring
corptax_exempstring
corptax_durationstring
corptax_gracestring
total_durationstring
duration_typestring
investment_minstring
export_minstring
req_otherstring
importduty_typestring
importduty_inputstring
input_durationstring
importduty_capexstring
capex_durationstring
repatriationstring
capital_gainsstring
withholdingstring
property_landstring
vat_salesstring
employmentstring
otherstring
nearest_portstring
nearest_portdistinteger
nearest_airporttext
nearest_airportdistinteger
populous_citystring
populous_citydistinteger
city_1mstring
city_1mdistinteger
city_500kstring
city_500kdistinteger
500kcity_rangestring
city_300kstring
city_300kdistinteger
notestring
geometrystring

Packages

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()