Measuring Urban Living Standards in Antananarivo 2016
Madagascar, 2016
Get Microdata
Reference ID
MDG_2016_TANA-LSMS_v01_M
Producer(s)
The World Bank
Metadata
Created on
Nov 06, 2017
Last modified
Jun 04, 2025
Page views
81189
Downloads
12664
Birthplace of HH member (s1_born)
Data file: s1_hhroster
Overview
Valid:
9307
Invalid:
43
Type:
Discrete
Decimal:
0
Start:
1079
End:
1082
Width:
4
Range:
-98 - 3200
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Don't Know | 0 |
0%
|
| -96 | Other (specify) | 24 |
0.3%
|
| 2001 | Diana f. Antsiranana | 33 |
0.4%
|
| 2002 | Sava f. Antsiranana | 50 |
0.5%
|
| 2003 | Itasy f. Antananarivo | 127 |
1.4%
|
| 2004 | Analamanga f. Antananarivo | 7737 |
83.1%
|
| 2005 | Vakinankaratra f. Antananarivo | 579 |
6.2%
|
| 2006 | Bongolava f. Antananarivo | 63 |
0.7%
|
| 2007 | Sofia f. Mahajanga | 24 |
0.3%
|
| 2008 | Boeny f. Mahajanga | 47 |
0.5%
|
| 2009 | Betsiboka f. Mahajanga | 17 |
0.2%
|
| 2010 | Melaky f. Mahajanga | 5 |
0.1%
|
| 2011 | Alaotra-Mangoro f. Toamasina | 123 |
1.3%
|
| 2012 | Atsinanana f. Toamasina | 63 |
0.7%
|
| 2013 | Analanjirofo f. Toamasina | 19 |
0.2%
|
| 2014 | Amoron'i Mania f. Fianarantsoa | 97 |
1%
|
| 2015 | Matsiatra Ambony f. Fianarantsoa | 110 |
1.2%
|
| 2016 | Vatovavy-Fitovinany f. Fianarantsoa | 46 |
0.5%
|
| 2017 | Atsimo-Atsinanana f. Fianarantsoa | 35 |
0.4%
|
| 2018 | Ihorombe f. Fianarantsoa | 8 |
0.1%
|
| 2019 | Menabe f. Toliara | 36 |
0.4%
|
| 2020 | Atsimo-Andrefana f. Toliara | 34 |
0.4%
|
| 2021 | Androy f. Toliara | 15 |
0.2%
|
| 2022 | Anosy f. Toliara | 6 |
0.1%
|
| 3001 | Afghanistan | 0 |
0%
|
| 3002 | Albania | 0 |
0%
|
| 3003 | Algeria | 0 |
0%
|
| 3004 | Angola | 0 |
0%
|
| 3005 | Anguilla | 0 |
0%
|
| 3006 | Argentina | 0 |
0%
|
| 3007 | Armenia | 0 |
0%
|
| 3008 | Aruba | 0 |
0%
|
| 3009 | Australia | 0 |
0%
|
| 3010 | Austria | 0 |
0%
|
| 3011 | Azerbaijan | 0 |
0%
|
| 3012 | Bahamas | 0 |
0%
|
| 3013 | Bahrain | 0 |
0%
|
| 3014 | Bangladesh | 0 |
0%
|
| 3015 | Barbados | 0 |
0%
|
| 3016 | Belarus | 0 |
0%
|
| 3017 | Belgium | 0 |
0%
|
| 3018 | Belize | 0 |
0%
|
| 3019 | Benin | 0 |
0%
|
| 3020 | Bermuda | 0 |
0%
|
| 3021 | Bhutan | 0 |
0%
|
| 3022 | Bolivia | 0 |
0%
|
| 3023 | Bosnia and Herzegovina | 0 |
0%
|
| 3024 | Botswana | 0 |
0%
|
| 3025 | Brazil | 0 |
0%
|
| 3026 | Brunei | 0 |
0%
|
| 3027 | Bulgaria | 0 |
0%
|
| 3028 | Burkina Faso | 0 |
0%
|
| 3029 | Burundi | 0 |
0%
|
| 3030 | Cambodia | 0 |
0%
|
| 3031 | Cameroon | 0 |
0%
|
| 3032 | Canada | 0 |
0%
|
| 3033 | Cape Verde | 0 |
0%
|
| 3034 | Cayman Islands | 0 |
0%
|
| 3035 | Central African Republic | 0 |
0%
|
| 3036 | Chad | 0 |
0%
|
| 3037 | Chile | 0 |
0%
|
| 3038 | China | 0 |
0%
|
| 3039 | Colombia | 0 |
0%
|
| 3040 | Comoros | 3 |
0%
|
| 3041 | Congo | 0 |
0%
|
| 3042 | Congo Democratic Republic of | 0 |
0%
|
| 3043 | Cook Islands | 0 |
0%
|
| 3044 | Costa Rica | 0 |
0%
|
| 3045 | Côte d'Ivoire | 0 |
0%
|
| 3046 | Croatia | 0 |
0%
|
| 3047 | Cuba | 0 |
0%
|
| 3048 | Curaçao | 0 |
0%
|
| 3049 | Cyprus | 0 |
0%
|
| 3050 | Czech Republic | 0 |
0%
|
| 3051 | Denmark | 0 |
0%
|
| 3052 | Djibouti | 0 |
0%
|
| 3053 | Dominica | 0 |
0%
|
| 3054 | Dominican Republic | 0 |
0%
|
| 3055 | Ecuador | 0 |
0%
|
| 3056 | Egypt | 0 |
0%
|
| 3057 | El Salvador | 0 |
0%
|
| 3058 | Equatorial Guinea | 0 |
0%
|
| 3059 | Eritrea | 0 |
0%
|
| 3060 | Estonia | 0 |
0%
|
| 3061 | Ethiopia | 0 |
0%
|
| 3062 | Falkland Islands | 0 |
0%
|
| 3063 | Fiji | 0 |
0%
|
| 3064 | Finland | 0 |
0%
|
| 3065 | France | 0 |
0%
|
| 3066 | French Guiana | 0 |
0%
|
| 3067 | French Polynesia | 0 |
0%
|
| 3068 | Gabon | 0 |
0%
|
| 3069 | Gambia | 0 |
0%
|
| 3070 | Georgia | 0 |
0%
|
| 3071 | Germany | 0 |
0%
|
| 3072 | Ghana | 0 |
0%
|
| 3073 | Gibraltar | 0 |
0%
|
| 3074 | Greece | 0 |
0%
|
| 3075 | Greenland | 0 |
0%
|
| 3076 | Grenada | 0 |
0%
|
| 3077 | Guadeloupe | 0 |
0%
|
| 3078 | Guam | 0 |
0%
|
| 3079 | Guatemala | 0 |
0%
|
| 3080 | Guernsey | 0 |
0%
|
| 3081 | Guinea | 0 |
0%
|
| 3082 | Guinea-Bissau | 1 |
0%
|
| 3083 | Guyana | 0 |
0%
|
| 3084 | Haiti | 0 |
0%
|
| 3085 | Honduras | 0 |
0%
|
| 3086 | Hong Kong | 0 |
0%
|
| 3087 | Hungary | 0 |
0%
|
| 3088 | Iceland | 0 |
0%
|
| 3089 | India | 1 |
0%
|
| 3090 | Indonesia | 0 |
0%
|
| 3091 | Iran | 0 |
0%
|
| 3092 | Iraq | 0 |
0%
|
| 3093 | Ireland | 0 |
0%
|
| 3094 | Isle of Man | 0 |
0%
|
| 3095 | Israel | 0 |
0%
|
| 3096 | Italy | 0 |
0%
|
| 3097 | Jamaica | 0 |
0%
|
| 3098 | Japan | 0 |
0%
|
| 3099 | Jersey | 0 |
0%
|
| 3100 | Jordan | 0 |
0%
|
| 3101 | Kazakhstan | 0 |
0%
|
| 3102 | Kenya | 0 |
0%
|
| 3103 | Kiribati | 0 |
0%
|
| 3104 | Kuwait | 0 |
0%
|
| 3105 | Kyrgyzstan | 0 |
0%
|
| 3106 | Lao People's Democratic Republic | 0 |
0%
|
| 3107 | Latvia | 0 |
0%
|
| 3108 | Lebanon | 0 |
0%
|
| 3109 | Lesotho | 0 |
0%
|
| 3110 | Liberia | 0 |
0%
|
| 3111 | Libya | 0 |
0%
|
| 3112 | Liechtenstein | 0 |
0%
|
| 3113 | Lithuania | 0 |
0%
|
| 3114 | Luxembourg | 0 |
0%
|
| 3115 | Macau | 0 |
0%
|
| 3116 | Macedonia | 0 |
0%
|
| 3117 | Madagascar | 0 |
0%
|
| 3118 | Malawi | 0 |
0%
|
| 3119 | Malaysia | 0 |
0%
|
| 3120 | Maldives | 0 |
0%
|
| 3121 | Mali | 0 |
0%
|
| 3122 | Malta | 0 |
0%
|
| 3123 | Martinique | 0 |
0%
|
| 3124 | Mauritania | 0 |
0%
|
| 3125 | Mauritius | 0 |
0%
|
| 3126 | Mayotte | 0 |
0%
|
| 3127 | Mexico | 0 |
0%
|
| 3128 | Moldova | 0 |
0%
|
| 3129 | Monaco | 0 |
0%
|
| 3130 | Mongolia | 0 |
0%
|
| 3131 | Morocco | 0 |
0%
|
| 3132 | Mozambique | 0 |
0%
|
| 3133 | Myanmar | 0 |
0%
|
| 3134 | Namibia | 0 |
0%
|
| 3135 | Nepal | 0 |
0%
|
| 3136 | New Zealand | 0 |
0%
|
| 3137 | Nicaragua | 0 |
0%
|
| 3138 | Niger | 0 |
0%
|
| 3139 | Nigeria | 0 |
0%
|
| 3140 | North Korea | 0 |
0%
|
| 3141 | Northern Mariana Islands | 0 |
0%
|
| 3142 | Norway | 0 |
0%
|
| 3143 | Oman | 0 |
0%
|
| 3144 | Pakistan | 0 |
0%
|
| 3145 | Palestine | 0 |
0%
|
| 3146 | Panama | 0 |
0%
|
| 3147 | Papua New Guinea | 0 |
0%
|
| 3148 | Paraguay | 0 |
0%
|
| 3149 | Peru | 0 |
0%
|
| 3150 | Philippines | 0 |
0%
|
| 3151 | Poland | 0 |
0%
|
| 3152 | Portugal | 0 |
0%
|
| 3153 | Puerto Rico | 0 |
0%
|
| 3154 | Qatar | 0 |
0%
|
| 3155 | Réunion | 0 |
0%
|
| 3156 | Romania | 0 |
0%
|
| 3157 | Russian Federation | 0 |
0%
|
| 3158 | Rwanda | 0 |
0%
|
| 3159 | Saudi Arabia | 0 |
0%
|
| 3160 | Senegal | 0 |
0%
|
| 3161 | Serbia | 0 |
0%
|
| 3162 | Seychelles | 0 |
0%
|
| 3163 | Sierra Leone | 0 |
0%
|
| 3164 | Singapore | 0 |
0%
|
| 3165 | Slovakia | 0 |
0%
|
| 3166 | Slovenia | 0 |
0%
|
| 3167 | Somalia | 0 |
0%
|
| 3168 | South Korea | 0 |
0%
|
| 3169 | South Sudan | 0 |
0%
|
| 3170 | Spain | 0 |
0%
|
| 3171 | Sri Lanka | 0 |
0%
|
| 3172 | St. Pierre and Miquelon | 0 |
0%
|
| 3173 | Sudan | 0 |
0%
|
| 3174 | Suriname | 0 |
0%
|
| 3175 | Swaziland | 0 |
0%
|
| 3176 | Sweden | 0 |
0%
|
| 3177 | Switzerland | 0 |
0%
|
| 3178 | Syria | 4 |
0%
|
| 3179 | Taiwan | 0 |
0%
|
| 3180 | Tajikistan | 0 |
0%
|
| 3181 | Tanzania | 0 |
0%
|
| 3182 | Thailand | 0 |
0%
|
| 3183 | The Netherlands | 0 |
0%
|
| 3184 | Trinidad and Tobago | 0 |
0%
|
| 3185 | Tunisia | 0 |
0%
|
| 3186 | Turkey | 0 |
0%
|
| 3187 | Turkmenistan | 0 |
0%
|
| 3188 | Uganda | 0 |
0%
|
| 3189 | Ukraine | 0 |
0%
|
| 3190 | United Arab Emirates | 0 |
0%
|
| 3191 | United Kingdom | 0 |
0%
|
| 3192 | United States | 0 |
0%
|
| 3193 | Uruguay | 0 |
0%
|
| 3194 | Uzbekistan | 0 |
0%
|
| 3195 | Venezuela | 0 |
0%
|
| 3196 | Vietnam | 0 |
0%
|
| 3197 | Western Sahara | 0 |
0%
|
| 3198 | Yemen | 0 |
0%
|
| 3199 | Zambia | 0 |
0%
|
| 3200 | Zimbabwe | 0 |
0%
|
| Sysmiss | 43 |
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.