Social-Economic Vulnerability Assessment 2022
Afghanistan, 2022
Get MicrodataCreated on
Jun 14, 2023
Last modified
Jun 14, 2023
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- Data files
- Household data
(hh_expenditure_total)
Data file: Household data
Overview
Valid:
6063
Invalid:
-
Type:
Discrete
Range:
-
Format:
Factor
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | 700 |
| 2 | 1000 |
| 3 | 1200 |
| 4 | 1500 |
| 5 | 1700 |
| 6 | 1800 |
| 7 | 1810 |
| 8 | 2000 |
| 9 | 2050 |
| 10 | 2100 |
| 11 | 2250 |
| 12 | 2300 |
| 13 | 2480 |
| 14 | 2500 |
| 15 | 2550 |
| 16 | 2600 |
| 17 | 2700 |
| 18 | 2750 |
| 19 | 2800 |
| 20 | 2900 |
| 21 | 3000 |
| 22 | 3030 |
| 23 | 3100 |
| 24 | 3110 |
| 25 | 3150 |
| 26 | 3200 |
| 27 | 3250 |
| 28 | 3300 |
| 29 | 3400 |
| 30 | 3450 |
| 31 | 3470 |
| 32 | 3500 |
| 33 | 3600 |
| 34 | 3650 |
| 35 | 3700 |
| 36 | 3750 |
| 37 | 3800 |
| 38 | 3850 |
| 39 | 3900 |
| 40 | 4000 |
| 41 | 4002 |
| 42 | 4100 |
| 43 | 4150 |
| 44 | 4200 |
| 45 | 4250 |
| 46 | 4300 |
| 47 | 4350 |
| 48 | 4400 |
| 49 | 4450 |
| 50 | 4500 |
| 51 | 4550 |
| 52 | 4600 |
| 53 | 4650 |
| 54 | 4700 |
| 55 | 4750 |
| 56 | 4800 |
| 57 | 4900 |
| 58 | 4920 |
| 59 | 4930 |
| 60 | 4950 |
| 61 | 4980 |
| 62 | 5000 |
| 63 | 5030 |
| 64 | 5050 |
| 65 | 5060 |
| 66 | 5100 |
| 67 | 5150 |
| 68 | 5200 |
| 69 | 5240 |
| 70 | 5250 |
| 71 | 5300 |
| 72 | 5350 |
| 73 | 5400 |
| 74 | 5450 |
| 75 | 5500 |
| 76 | 5600 |
| 77 | 5615 |
| 78 | 5650 |
| 79 | 5700 |
| 80 | 5750 |
| 81 | 5800 |
| 82 | 5850 |
| 83 | 5880 |
| 84 | 5900 |
| 85 | 5930 |
| 86 | 5950 |
| 87 | 6000 |
| 88 | 6050 |
| 89 | 6100 |
| 90 | 6150 |
| 91 | 6200 |
| 92 | 6250 |
| 93 | 6300 |
| 94 | 6350 |
| 95 | 6400 |
| 96 | 6500 |
| 97 | 6550 |
| 98 | 6600 |
| 99 | 6650 |
| 100 | 6700 |
| 101 | 6750 |
| 102 | 6800 |
| 103 | 6900 |
| 104 | 6950 |
| 105 | 7000 |
| 106 | 7010 |
| 107 | 7100 |
| 108 | 7150 |
| 109 | 7180 |
| 110 | 7200 |
| 111 | 7250 |
| 112 | 7300 |
| 113 | 7400 |
| 114 | 7500 |
| 115 | 7600 |
| 116 | 7650 |
| 117 | 7700 |
| 118 | 7750 |
| 119 | 7800 |
| 120 | 7900 |
| 121 | 7950 |
| 122 | 8000 |
| 123 | 8050 |
| 124 | 8100 |
| 125 | 8150 |
| 126 | 8200 |
| 127 | 8250 |
| 128 | 8300 |
| 129 | 8400 |
| 130 | 8450 |
| 131 | 8500 |
| 132 | 8600 |
| 133 | 8650 |
| 134 | 8680 |
| 135 | 8700 |
| 136 | 8750 |
| 137 | 8800 |
| 138 | 8850 |
| 139 | 8900 |
| 140 | 8950 |
| 141 | 8960 |
| 142 | 8980 |
| 143 | 9000 |
| 144 | 9050 |
| 145 | 9100 |
| 146 | 9150 |
| 147 | 9200 |
| 148 | 9250 |
| 149 | 9300 |
| 150 | 9350 |
| 151 | 9400 |
| 152 | 9450 |
| 153 | 9500 |
| 154 | 9520 |
| 155 | 9550 |
| 156 | 9600 |
| 157 | 9700 |
| 158 | 9750 |
| 159 | 9800 |
| 160 | 9900 |
| 161 | 9950 |
| 162 | 10000 |
| 163 | 10050 |
| 164 | 10100 |
| 165 | 10150 |
| 166 | 10200 |
| 167 | 10250 |
| 168 | 10300 |
| 169 | 10350 |
| 170 | 10400 |
| 171 | 10450 |
| 172 | 10500 |
| 173 | 10600 |
| 174 | 10650 |
| 175 | 10700 |
| 176 | 10750 |
| 177 | 10780 |
| 178 | 10800 |
| 179 | 10900 |
| 180 | 11000 |
| 181 | 11050 |
| 182 | 11100 |
| 183 | 11150 |
| 184 | 11200 |
| 185 | 11300 |
| 186 | 11340 |
| 187 | 11400 |
| 188 | 11500 |
| 189 | 11550 |
| 190 | 11600 |
| 191 | 11650 |
| 192 | 11700 |
| 193 | 11800 |
| 194 | 11880 |
| 195 | 11900 |
| 196 | 11950 |
| 197 | 12000 |
| 198 | 12050 |
| 199 | 12070 |
| 200 | 12100 |
| 201 | 12200 |
| 202 | 12250 |
| 203 | 12300 |
| 204 | 12400 |
| 205 | 12450 |
| 206 | 12500 |
| 207 | 12600 |
| 208 | 12650 |
| 209 | 12700 |
| 210 | 12800 |
| 211 | 12900 |
| 212 | 13000 |
| 213 | 13100 |
| 214 | 13150 |
| 215 | 13200 |
| 216 | 13250 |
| 217 | 13265 |
| 218 | 13300 |
| 219 | 13400 |
| 220 | 13450 |
| 221 | 13500 |
| 222 | 13600 |
| 223 | 13700 |
| 224 | 13800 |
| 225 | 13900 |
| 226 | 14000 |
| 227 | 14200 |
| 228 | 14300 |
| 229 | 14350 |
| 230 | 14400 |
| 231 | 14500 |
| 232 | 14520 |
| 233 | 14600 |
| 234 | 14700 |
| 235 | 14750 |
| 236 | 14800 |
| 237 | 14900 |
| 238 | 15000 |
| 239 | 15100 |
| 240 | 15200 |
| 241 | 15300 |
| 242 | 15350 |
| 243 | 15400 |
| 244 | 15500 |
| 245 | 15560 |
| 246 | 15600 |
| 247 | 15700 |
| 248 | 15800 |
| 249 | 16000 |
| 250 | 16100 |
| 251 | 16200 |
| 252 | 16300 |
| 253 | 16500 |
| 254 | 16700 |
| 255 | 16750 |
| 256 | 16900 |
| 257 | 17000 |
| 258 | 17300 |
| 259 | 17400 |
| 260 | 17500 |
| 261 | 17600 |
| 262 | 17700 |
| 263 | 17800 |
| 264 | 18000 |
| 265 | 18100 |
| 266 | 18400 |
| 267 | 18500 |
| 268 | 18700 |
| 269 | 19000 |
| 270 | 19500 |
| 271 | 19600 |
| 272 | 19700 |
| 273 | 19800 |
| 274 | 20000 |
| 275 | 20100 |
| 276 | 20200 |
| 277 | 20400 |
| 278 | 20500 |
| 279 | 20700 |
| 280 | 20750 |
| 281 | 20900 |
| 282 | 21000 |
| 283 | 21200 |
| 284 | 21300 |
| 285 | 21500 |
| 286 | 21800 |
| 287 | 21850 |
| 288 | 22000 |
| 289 | 22100 |
| 290 | 22300 |
| 291 | 22500 |
| 292 | 22600 |
| 293 | 22700 |
| 294 | 23000 |
| 295 | 23100 |
| 296 | 23300 |
| 297 | 23500 |
| 298 | 23700 |
| 299 | 24000 |
| 300 | 24100 |
| 301 | 24300 |
| 302 | 24600 |
| 303 | 25000 |
| 304 | 25500 |
| 305 | 26000 |
| 306 | 26500 |
| 307 | 26750 |
| 308 | 26800 |
| 309 | 27000 |
| 310 | 27300 |
| 311 | 27500 |
| 312 | 28000 |
| 313 | 28500 |
| 314 | 28700 |
| 315 | 29000 |
| 316 | 29100 |
| 317 | 29200 |
| 318 | 29350 |
| 319 | 29500 |
| 320 | 30000 |
| 321 | 31500 |
| 322 | 32000 |
| 323 | 33000 |
| 324 | 33500 |
| 325 | 34000 |
| 326 | 34200 |
| 327 | 35000 |
| 328 | 36000 |
| 329 | 36500 |
| 330 | 38000 |
| 331 | 40000 |
| 332 | 41000 |
| 333 | 42000 |
| 334 | 42550 |
| 335 | 44500 |
| 336 | 44600 |
| 337 | 45000 |
| 338 | 46000 |
| 339 | 48000 |
| 340 | 48100 |
| 341 | 49000 |
| 342 | 50000 |
| 343 | 50500 |
| 344 | 51000 |
| 345 | 51800 |
| 346 | 54500 |
| 347 | 60000 |
| 348 | 71000 |
| 349 | 75000 |
| 350 | 95000 |
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.