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    Home / Central Data Catalog / GLOBAL-FINDEX / WLD_2014_FINDEX_V01_M / variable [F1]
global-findex

Global Financial Inclusion (Global Findex) Database 2014

Afghanistan, Angola, Angola...and 151 more, 2014
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Reference ID
WLD_2014_FINDEX_v01_M
DOI
https://doi.org/10.48529/9j25-hr41
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 28, 2015
Last modified
Oct 26, 2023
Page views
160642
Downloads
31749
  • Study Description
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  • micro_world

Economy Code (economycode)

Data file: micro_world

Overview

Valid: 146688
Invalid: 0
Type: Discrete
Start: 25
End: 27
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AFG 1000
0.7%
AGO 1000
0.7%
ALB 999
0.7%
ARE 1002
0.7%
ARG 1000
0.7%
ARM 1000
0.7%
AUS 1002
0.7%
AUT 1000
0.7%
AZE 1000
0.7%
BDI 1000
0.7%
BEL 1004
0.7%
BEN 1000
0.7%
BFA 1000
0.7%
BGD 1000
0.7%
BGR 1000
0.7%
BHR 1005
0.7%
BIH 1001
0.7%
BLR 1036
0.7%
BLZ 504
0.3%
BOL 1000
0.7%
BRA 1007
0.7%
BTN 1020
0.7%
BWA 1000
0.7%
CAN 1004
0.7%
CHE 1008
0.7%
CHL 1032
0.7%
CHN 4184
2.9%
CIV 1000
0.7%
CMR 1000
0.7%
COG 1000
0.7%
COL 1000
0.7%
CRI 1000
0.7%
CYP 1000
0.7%
CZE 1008
0.7%
DEU 1012
0.7%
DNK 1002
0.7%
DOM 1000
0.7%
DZA 1002
0.7%
ECU 1000
0.7%
EGY 1000
0.7%
ESP 1000
0.7%
EST 1000
0.7%
ETH 1004
0.7%
FIN 1001
0.7%
FRA 1000
0.7%
GAB 1008
0.7%
GBR 1000
0.7%
GEO 1000
0.7%
GHA 1000
0.7%
GIN 1000
0.7%
GRC 1000
0.7%
GTM 1000
0.7%
HKG 1007
0.7%
HND 1000
0.7%
HRV 1000
0.7%
HTI 504
0.3%
HUN 1003
0.7%
IDN 1000
0.7%
IND 3000
2%
IRL 1000
0.7%
IRQ 1007
0.7%
ISR 1000
0.7%
ITA 1000
0.7%
JAM 504
0.3%
JOR 1000
0.7%
JPN 1006
0.7%
KAZ 1000
0.7%
KEN 1000
0.7%
KGZ 1000
0.7%
KHM 1000
0.7%
KOR 1000
0.7%
KSV 1001
0.7%
KWT 1013
0.7%
LBN 1000
0.7%
LKA 1062
0.7%
LTU 1000
0.7%
LUX 1000
0.7%
LVA 1002
0.7%
MDA 1000
0.7%
MDG 1008
0.7%
MEX 1017
0.7%
MKD 1000
0.7%
MLI 1000
0.7%
MLT 1001
0.7%
MMR 1020
0.7%
MNE 1000
0.7%
MNG 1000
0.7%
MRT 1000
0.7%
MUS 1000
0.7%
MWI 1000
0.7%
MYS 1000
0.7%
NAM 1000
0.7%
NER 1008
0.7%
NGA 1000
0.7%
NIC 1000
0.7%
NLD 1002
0.7%
NOR 1000
0.7%
NPL 1050
0.7%
NZL 1000
0.7%
PAK 1000
0.7%
PAN 1000
0.7%
PER 1000
0.7%
PHL 1000
0.7%
POL 1000
0.7%
PRI 500
0.3%
PRT 1013
0.7%
ROM 998
0.7%
RUS 2000
1.4%
RWA 1000
0.7%
SAU 1018
0.7%
SDN 1000
0.7%
SEN 1000
0.7%
SGP 1000
0.7%
SLE 1008
0.7%
SLV 1000
0.7%
SOM 1000
0.7%
SRB 1000
0.7%
SVK 1000
0.7%
SVN 1003
0.7%
SWE 1001
0.7%
TCD 1000
0.7%
TGO 1000
0.7%
THA 1000
0.7%
TJK 1000
0.7%
TKM 1000
0.7%
TUN 1056
0.7%
TUR 1002
0.7%
TWN 1000
0.7%
TZA 1008
0.7%
UGA 1000
0.7%
UKR 1000
0.7%
URY 1000
0.7%
USA 1021
0.7%
UZB 1000
0.7%
VEN 1000
0.7%
VNM 1000
0.7%
WBG 1000
0.7%
YEM 1000
0.7%
ZAF 1000
0.7%
ZAR 1000
0.7%
ZMB 1000
0.7%
ZWE 1000
0.7%
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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