Life in Transition Survey 2010
After the Crisis
Albania, Armenia, Azerbaijan...and 28 more, 2010
Get Microdata
Reference ID
ECA_2010_LITS_v01_M
Producer(s)
European Bank for Reconstruction and Development, World Bank
Metadata
Created on
Feb 27, 2013
Last modified
Sep 26, 2023
Page views
93807
Downloads
9253
- Data files
- LITS_6Jun12cg_labeled
Country code (country)
Data file: LITS_6Jun12cg_labeled
Overview
Valid:
67820
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
18
End:
20
Width:
3
Range:
1 - 194
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Afghanistan | 0 |
0%
|
| 2 | Albania | 2054 |
3%
|
| 3 | Algeria | 0 |
0%
|
| 4 | Andorra | 0 |
0%
|
| 5 | Angola | 0 |
0%
|
| 6 | Antigua and Barbuda | 0 |
0%
|
| 7 | Argentina | 0 |
0%
|
| 8 | Armenia | 1998 |
2.9%
|
| 9 | Australia | 0 |
0%
|
| 10 | Austria | 0 |
0%
|
| 11 | Azerbaijan | 2000 |
2.9%
|
| 12 | Bahamas | 0 |
0%
|
| 13 | Bahrain | 0 |
0%
|
| 14 | Bangladesh | 0 |
0%
|
| 15 | Barbados | 0 |
0%
|
| 16 | Belarus | 2000 |
2.9%
|
| 17 | Belgium | 0 |
0%
|
| 18 | Belize | 0 |
0%
|
| 19 | Benin | 0 |
0%
|
| 20 | Bhutan | 0 |
0%
|
| 21 | Bolivia | 0 |
0%
|
| 22 | Bosnia and Herzegovina | 2087 |
3.1%
|
| 23 | Botswana | 0 |
0%
|
| 24 | Brazil | 0 |
0%
|
| 25 | Brunei | 0 |
0%
|
| 26 | Bulgaria | 2014 |
3%
|
| 27 | Burkina Faso | 0 |
0%
|
| 28 | Burundi | 0 |
0%
|
| 29 | Cambodia | 0 |
0%
|
| 30 | Cameroon | 0 |
0%
|
| 31 | Canada | 0 |
0%
|
| 32 | Cape Verde | 0 |
0%
|
| 33 | Central African Republic | 0 |
0%
|
| 34 | Chad | 0 |
0%
|
| 35 | Chile | 0 |
0%
|
| 36 | China | 0 |
0%
|
| 37 | Colombia | 0 |
0%
|
| 38 | Comoros | 0 |
0%
|
| 39 | Congo | 0 |
0%
|
| 40 | Costa Rica | 0 |
0%
|
| 41 | Cote d'Ivoire | 0 |
0%
|
| 42 | Croatia | 2006 |
3%
|
| 43 | Cuba | 0 |
0%
|
| 44 | Cyprus | 0 |
0%
|
| 45 | Czech Republic | 2007 |
3%
|
| 46 | Democratic Republic of the Congo | 0 |
0%
|
| 47 | Denmark | 0 |
0%
|
| 48 | Djibouti | 0 |
0%
|
| 49 | Dominica | 0 |
0%
|
| 50 | Dominican Republic | 0 |
0%
|
| 51 | East Timor | 0 |
0%
|
| 52 | Ecuador | 0 |
0%
|
| 53 | Egypt | 0 |
0%
|
| 54 | El Salvador | 0 |
0%
|
| 55 | Equatorial Guinea | 0 |
0%
|
| 56 | Eritrea | 0 |
0%
|
| 57 | Estonia | 2002 |
3%
|
| 58 | Ethiopia | 0 |
0%
|
| 59 | Fiji | 0 |
0%
|
| 60 | Finland | 0 |
0%
|
| 61 | France | 1009 |
1.5%
|
| 62 | Gabon | 0 |
0%
|
| 63 | Georgia | 2000 |
2.9%
|
| 64 | Germany | 1042 |
1.5%
|
| 65 | Ghana | 0 |
0%
|
| 66 | Great Britain | 1504 |
2.2%
|
| 67 | Greece | 0 |
0%
|
| 68 | Greenland | 0 |
0%
|
| 69 | Grenada | 0 |
0%
|
| 70 | Guatemala | 0 |
0%
|
| 71 | Guinea | 0 |
0%
|
| 72 | Guinea-Bissau | 0 |
0%
|
| 73 | Guyana | 0 |
0%
|
| 74 | Haiti | 0 |
0%
|
| 75 | Honduras | 0 |
0%
|
| 76 | Hungary | 2053 |
3%
|
| 77 | Iceland | 0 |
0%
|
| 78 | India | 0 |
0%
|
| 79 | Indonesia | 0 |
0%
|
| 80 | Iran | 0 |
0%
|
| 81 | Iraq | 0 |
0%
|
| 82 | Ireland | 0 |
0%
|
| 83 | Israel | 0 |
0%
|
| 84 | Italy | 1049 |
1.5%
|
| 85 | Jamaica | 0 |
0%
|
| 86 | Japan | 0 |
0%
|
| 87 | Jordan | 0 |
0%
|
| 88 | Kazakhstan | 1999 |
2.9%
|
| 89 | Kenya | 0 |
0%
|
| 90 | Kiribati | 0 |
0%
|
| 91 | Kuwait | 0 |
0%
|
| 92 | Kyrgyzstan | 2013 |
3%
|
| 93 | Laos | 0 |
0%
|
| 94 | Latvia | 2007 |
3%
|
| 95 | Lebanon | 0 |
0%
|
| 96 | Lesotho | 0 |
0%
|
| 97 | Liberia | 0 |
0%
|
| 98 | Libya | 0 |
0%
|
| 99 | Liechtenstein | 0 |
0%
|
| 100 | Lithuania | 2011 |
3%
|
| 101 | Luxembourg | 0 |
0%
|
| 102 | Macedonia | 2069 |
3.1%
|
| 103 | Madagascar | 0 |
0%
|
| 104 | Malawi | 0 |
0%
|
| 105 | Malaysia | 0 |
0%
|
| 106 | Maldives | 0 |
0%
|
| 107 | Mali | 0 |
0%
|
| 108 | Malta | 0 |
0%
|
| 109 | Marshall Islands | 0 |
0%
|
| 110 | Mauritania | 0 |
0%
|
| 111 | Mauritius | 0 |
0%
|
| 112 | Mexico | 0 |
0%
|
| 113 | Micronesia | 0 |
0%
|
| 114 | Moldova | 2043 |
3%
|
| 115 | Mongolia | 1997 |
2.9%
|
| 116 | Morocco | 0 |
0%
|
| 117 | Mozambique | 0 |
0%
|
| 118 | Myanmar | 0 |
0%
|
| 119 | Namibia | 0 |
0%
|
| 120 | Nauru | 0 |
0%
|
| 121 | Nepal | 0 |
0%
|
| 122 | Netherlands | 0 |
0%
|
| 123 | New Zealand | 0 |
0%
|
| 124 | Nicaragua | 0 |
0%
|
| 125 | Niger | 0 |
0%
|
| 126 | Nigeria | 0 |
0%
|
| 127 | North Korea | 0 |
0%
|
| 128 | Norway | 0 |
0%
|
| 129 | Oman | 0 |
0%
|
| 130 | Pakistan | 0 |
0%
|
| 131 | Palau | 0 |
0%
|
| 132 | Panama | 0 |
0%
|
| 133 | Papua New Guinea | 0 |
0%
|
| 134 | Paraguay | 0 |
0%
|
| 135 | Peru | 0 |
0%
|
| 136 | Philippines | 0 |
0%
|
| 137 | Poland | 2616 |
3.9%
|
| 138 | Portugal | 0 |
0%
|
| 139 | Qatar | 0 |
0%
|
| 140 | Romania | 2076 |
3.1%
|
| 141 | Russia | 2584 |
3.8%
|
| 142 | Rwanda | 0 |
0%
|
| 143 | Samoa | 0 |
0%
|
| 144 | Sao Tome and Príncipe | 0 |
0%
|
| 145 | Saudi Arabia | 0 |
0%
|
| 146 | Senegal | 0 |
0%
|
| 147 | Serbia | 2518 |
3.7%
|
| 148 | Seychelles | 0 |
0%
|
| 149 | Sierra Leone | 0 |
0%
|
| 150 | Singapore | 0 |
0%
|
| 151 | Slovakia | 2011 |
3%
|
| 152 | Slovenia | 2001 |
3%
|
| 153 | Solomon Islands | 0 |
0%
|
| 154 | Somalia | 0 |
0%
|
| 155 | South Africa | 0 |
0%
|
| 156 | South Korea | 0 |
0%
|
| 157 | Spain | 0 |
0%
|
| 158 | Sri Lanka | 0 |
0%
|
| 159 | Sudan | 0 |
0%
|
| 160 | Suriname | 0 |
0%
|
| 161 | Swaziland | 0 |
0%
|
| 162 | Sweden | 900 |
1.3%
|
| 163 | Switzerland | 0 |
0%
|
| 164 | Syria | 0 |
0%
|
| 165 | Taiwan | 0 |
0%
|
| 166 | Tajikistan | 2003 |
3%
|
| 167 | Tanzania | 0 |
0%
|
| 168 | Thailand | 0 |
0%
|
| 169 | The Gambia | 0 |
0%
|
| 170 | Togo | 0 |
0%
|
| 171 | Tonga | 0 |
0%
|
| 172 | Trinidad and Tobago | 0 |
0%
|
| 173 | Tunisia | 0 |
0%
|
| 174 | Turkey | 2004 |
3%
|
| 175 | Turkmenistan | 0 |
0%
|
| 176 | Tuvalu | 0 |
0%
|
| 177 | Uganda | 0 |
0%
|
| 178 | Ukraine | 2558 |
3.8%
|
| 179 | United Arab Emirates | 0 |
0%
|
| 180 | Uruguay | 0 |
0%
|
| 181 | USA | 0 |
0%
|
| 182 | Uzbekistan | 2492 |
3.7%
|
| 183 | Vanuatu | 0 |
0%
|
| 184 | Venezuela | 0 |
0%
|
| 185 | Vietnam | 0 |
0%
|
| 186 | Yemen | 0 |
0%
|
| 187 | Zambia | 0 |
0%
|
| 188 | Zimbabwe | 0 |
0%
|
| 189 | Central America | 0 |
0%
|
| 190 | Turkish Cyprus | 0 |
0%
|
| 191 | Hong Kong | 0 |
0%
|
| 192 | Northern Ireland | 0 |
0%
|
| 193 | Kosovo | 1081 |
1.6%
|
| 194 | Montenegro | 2012 |
3%
|
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.