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    Home / Central Data Catalog / GLOBAL-FINDEX / WLD_2017_FINDEX_V02_M / variable [F2]
global-findex

Global Financial Inclusion (Global Findex) Database 2017

Afghanistan, Albania, Algeria...and 133 more, 2017
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Reference ID
WLD_2017_FINDEX_v02_M
DOI
https://doi.org/10.48529/d3cf-fj47
Producer(s)
Development Research Group, Finance and Private Sector Development Unit
Collection(s)
Global Financial Inclusion (Global Findex) Database Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Study website Interactive tools
Created on
Oct 23, 2018
Last modified
Jun 13, 2022
Page views
207665
Downloads
36973
  • Study Description
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  • micro_world

Economy Code (economycode)

Data file: micro_world

Overview

Valid: 154923
Invalid: 0
Type: Discrete
Start: 25
End: 27
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AFG 1000
0.6%
ALB 1000
0.6%
ARE 1003
0.6%
ARG 1000
0.6%
ARM 1000
0.6%
AUS 1008
0.7%
AUT 1000
0.6%
AZE 1000
0.6%
BEL 1001
0.6%
BEN 1000
0.6%
BFA 1000
0.6%
BGD 1000
0.6%
BGR 1000
0.6%
BHR 1060
0.7%
BIH 1000
0.6%
BLR 1053
0.7%
BOL 1000
0.6%
BRA 1000
0.6%
BWA 1000
0.6%
CAF 1000
0.6%
CAN 1003
0.6%
CHE 1000
0.6%
CHL 1040
0.7%
CHN 3627
2.3%
CIV 1000
0.6%
CMR 1000
0.6%
COD 1000
0.6%
COG 1000
0.6%
COL 1000
0.6%
CRI 1000
0.6%
CYP 1023
0.7%
CZE 1000
0.6%
DEU 1000
0.6%
DNK 1000
0.6%
DOM 1000
0.6%
DZA 1016
0.7%
ECU 1000
0.6%
EGY 1000
0.6%
ESP 1000
0.6%
EST 1000
0.6%
ETH 1000
0.6%
FIN 1000
0.6%
FRA 1000
0.6%
GAB 1000
0.6%
GBR 1000
0.6%
GEO 1000
0.6%
GHA 1000
0.6%
GIN 1000
0.6%
GRC 1000
0.6%
GTM 1000
0.6%
HKG 1007
0.7%
HND 1000
0.6%
HRV 1000
0.6%
HTI 504
0.3%
HUN 1000
0.6%
IDN 1000
0.6%
IND 3000
1.9%
IRL 1000
0.6%
IRN 1004
0.6%
IRQ 1000
0.6%
ISR 1000
0.6%
ITA 1000
0.6%
JOR 1012
0.7%
JPN 1005
0.6%
KAZ 1000
0.6%
KEN 1000
0.6%
KGZ 1000
0.6%
KHM 1600
1%
KOR 1000
0.6%
KWT 1000
0.6%
LAO 1000
0.6%
LBN 1000
0.6%
LBR 1000
0.6%
LBY 1002
0.6%
LKA 1104
0.7%
LSO 1000
0.6%
LTU 1000
0.6%
LUX 1000
0.6%
LVA 1002
0.6%
MAR 5110
3.3%
MDA 1000
0.6%
MDG 1000
0.6%
MEX 1000
0.6%
MKD 1008
0.7%
MLI 1000
0.6%
MLT 1003
0.6%
MMR 1600
1%
MNE 1000
0.6%
MNG 1000
0.6%
MOZ 1000
0.6%
MRT 1000
0.6%
MUS 1000
0.6%
MWI 1000
0.6%
MYS 1004
0.6%
NAM 1000
0.6%
NER 1000
0.6%
NGA 1000
0.6%
NIC 1000
0.6%
NLD 1000
0.6%
NOR 1000
0.6%
NPL 1000
0.6%
NZL 1000
0.6%
PAK 1600
1%
PAN 1000
0.6%
PER 1000
0.6%
PHL 1000
0.6%
POL 1000
0.6%
PRT 1002
0.6%
PRY 1000
0.6%
PSE 1000
0.6%
ROU 1001
0.6%
RUS 2000
1.3%
RWA 1000
0.6%
SAU 1009
0.7%
SEN 1000
0.6%
SGP 1000
0.6%
SLE 1000
0.6%
SLV 1000
0.6%
SRB 1000
0.6%
SSD 1000
0.6%
SVK 1000
0.6%
SVN 1000
0.6%
SWE 1000
0.6%
TCD 1000
0.6%
TGO 1000
0.6%
THA 1000
0.6%
TJK 1000
0.6%
TKM 1000
0.6%
TTO 504
0.3%
TUN 1001
0.6%
TUR 1000
0.6%
TWN 1000
0.6%
TZA 1000
0.6%
UGA 1000
0.6%
UKR 1000
0.6%
URY 1000
0.6%
USA 1005
0.6%
UZB 1000
0.6%
VEN 1000
0.6%
VNM 1002
0.6%
XKX 1000
0.6%
ZAF 1000
0.6%
ZMB 1000
0.6%
ZWE 1000
0.6%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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