Measuring Income Inequality (Deininger and Squire) Database 1890-1996
Argentina, Australia, Austria...and 99 more, 1890 - 1996
Get Microdata
Reference ID
WLD_1996_DS_v02_M
Producer(s)
Klaus W. Deininger and Lyn Squire
Metadata
Created on
Nov 20, 2013
Last modified
Jun 13, 2022
Page views
44352
Downloads
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- Data files
- WLD_1996_DS_v02_M
Country code (code)
Data file: WLD_1996_DS_v02_M
Overview
Valid:
2633
Invalid:
0
Type:
Discrete
Width:
3
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ARG | 39 |
1.5%
|
|
| ARM | 1 |
0%
|
|
| AUS | 36 |
1.4%
|
|
| AUT | 6 |
0.2%
|
|
| BEL | 22 |
0.8%
|
|
| BEN | 4 |
0.2%
|
|
| BFA | 1 |
0%
|
|
| BGD | 38 |
1.4%
|
|
| BGR | 41 |
1.6%
|
|
| BHS | 18 |
0.7%
|
|
| BOL | 5 |
0.2%
|
|
| BRA | 74 |
2.8%
|
|
| BRB | 23 |
0.9%
|
|
| BRS | 1 |
0%
|
|
| BUR | 3 |
0.1%
|
|
| BWA | 5 |
0.2%
|
|
| CAF | 1 |
0%
|
|
| CAN | 46 |
1.7%
|
|
| CHE | 6 |
0.2%
|
|
| CHL | 57 |
2.2%
|
|
| CHN | 35 |
1.3%
|
|
| CIV | 12 |
0.5%
|
|
| CMR | 1 |
0%
|
|
| COG | 2 |
0.1%
|
|
| COL | 59 |
2.2%
|
|
| CRI | 43 |
1.6%
|
|
| CSK | 28 |
1.1%
|
|
| CSR | 6 |
0.2%
|
|
| CUB | 4 |
0.2%
|
|
| CYP | 2 |
0.1%
|
|
| DEU | 72 |
2.7%
|
|
| DJI | 1 |
0%
|
|
| DNK | 35 |
1.3%
|
|
| DOM | 9 |
0.3%
|
|
| DZA | 1 |
0%
|
|
| ECU | 9 |
0.3%
|
|
| EGY | 16 |
0.6%
|
|
| ESP | 14 |
0.5%
|
|
| EST | 6 |
0.2%
|
|
| ETH | 2 |
0.1%
|
|
| FIJ | 1 |
0%
|
|
| FIN | 33 |
1.3%
|
|
| FJI | 4 |
0.2%
|
|
| FRA | 24 |
0.9%
|
|
| GAB | 14 |
0.5%
|
|
| GBR | 70 |
2.7%
|
|
| GHA | 4 |
0.2%
|
|
| GIN | 1 |
0%
|
|
| GMB | 1 |
0%
|
|
| GNB | 1 |
0%
|
|
| GRC | 22 |
0.8%
|
|
| GTM | 6 |
0.2%
|
|
| GUY | 2 |
0.1%
|
|
| HKG | 18 |
0.7%
|
|
| HND | 14 |
0.5%
|
|
| HUN | 22 |
0.8%
|
|
| IDN | 47 |
1.8%
|
|
| IND | 166 |
6.3%
|
|
| IRL | 11 |
0.4%
|
|
| IRN | 23 |
0.9%
|
|
| IRQ | 3 |
0.1%
|
|
| ISR | 27 |
1%
|
|
| ITA | 35 |
1.3%
|
|
| JAM | 16 |
0.6%
|
|
| JAP | 1 |
0%
|
|
| JOR | 12 |
0.5%
|
|
| JPN | 41 |
1.6%
|
|
| KAZ | 1 |
0%
|
|
| KEN | 22 |
0.8%
|
|
| KOR | 56 |
2.1%
|
|
| KYR | 1 |
0%
|
|
| LAO | 1 |
0%
|
|
| LAT | 1 |
0%
|
|
| LBN | 1 |
0%
|
|
| LBR | 1 |
0%
|
|
| LIT | 1 |
0%
|
|
| LKA | 55 |
2.1%
|
|
| LSO | 3 |
0.1%
|
|
| LUX | 2 |
0.1%
|
|
| MAR | 14 |
0.5%
|
|
| MDG | 6 |
0.2%
|
|
| MEX | 45 |
1.7%
|
|
| MLD | 1 |
0%
|
|
| MLI | 1 |
0%
|
|
| MRT | 2 |
0.1%
|
|
| MUS | 3 |
0.1%
|
|
| MWI | 6 |
0.2%
|
|
| MYS | 60 |
2.3%
|
|
| NER | 3 |
0.1%
|
|
| NGA | 17 |
0.6%
|
|
| NIC | 1 |
0%
|
|
| NLD | 36 |
1.4%
|
|
| NOR | 35 |
1.3%
|
|
| NPL | 2 |
0.1%
|
|
| NZL | 36 |
1.4%
|
|
| OAN | 90 |
3.4%
|
|
| PAK | 70 |
2.7%
|
|
| PAN | 18 |
0.7%
|
|
| PER | 28 |
1.1%
|
|
| PHL | 39 |
1.5%
|
|
| POL | 42 |
1.6%
|
|
| PRI | 16 |
0.6%
|
|
| PRT | 10 |
0.4%
|
|
| PRY | 2 |
0.1%
|
|
| REU | 1 |
0%
|
|
| ROM | 5 |
0.2%
|
|
| RWA | 1 |
0%
|
|
| SDN | 6 |
0.2%
|
|
| SEN | 8 |
0.3%
|
|
| SGP | 18 |
0.7%
|
|
| SLE | 8 |
0.3%
|
|
| SLO | 10 |
0.4%
|
|
| SLV | 11 |
0.4%
|
|
| SNM | 1 |
0%
|
|
| SUN | 5 |
0.2%
|
|
| SVA | 3 |
0.1%
|
|
| SWE | 82 |
3.1%
|
|
| SWZ | 1 |
0%
|
|
| SYC | 2 |
0.1%
|
|
| TCD | 4 |
0.2%
|
|
| TGO | 1 |
0%
|
|
| THA | 47 |
1.8%
|
|
| TTO | 8 |
0.3%
|
|
| TUN | 19 |
0.7%
|
|
| TUR | 25 |
0.9%
|
|
| TZA | 17 |
0.6%
|
|
| UGA | 11 |
0.4%
|
|
| UKR | 1 |
0%
|
|
| URY | 33 |
1.3%
|
|
| USA | 72 |
2.7%
|
|
| VEN | 24 |
0.9%
|
|
| VNM | 1 |
0%
|
|
| YUG | 49 |
1.9%
|
|
| ZAF | 12 |
0.5%
|
|
| ZMB | 12 |
0.5%
|
|
| ZWE | 4 |
0.2%
|
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.