Community Engagement for Education Impact Evaluation 2012-2013
Baseline Survey
Pakistan, 2012 - 2013
Get Microdata
Reference ID
PAK_2012_CEEIE-BL_v01_M
Producer(s)
Salman Asim
Collection(s)
Metadata
Created on
Mar 09, 2023
Last modified
Mar 09, 2023
Page views
63124
Downloads
4343
Caste of Household? (q5)
Data file: household_sample
Overview
Valid:
10042
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
44
End:
46
Width:
3
Range:
1 - 329
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | ARAIN | 172 |
1.7%
|
| 2 | ABRHO | 27 |
0.3%
|
| 3 | ANSARI | 4 |
0%
|
| 4 | BABAR | 22 |
0.2%
|
| 5 | BAHAI | 12 |
0.1%
|
| 6 | BAJIR | 1 |
0%
|
| 7 | BHAMBHIRO | 56 |
0.6%
|
| 8 | BHATTI | 64 |
0.6%
|
| 9 | BHOOT | 0 |
0%
|
| 10 | BHEEL | 730 |
7.3%
|
| 11 | BHURGHARI | 8 |
0.1%
|
| 12 | BHUTRANI | 0 |
0%
|
| 13 | BHUTTO | 4 |
0%
|
| 14 | BOZDAR | 18 |
0.2%
|
| 15 | CHADDHAR | 5 |
0%
|
| 16 | CHANDIO | 140 |
1.4%
|
| 17 | CHANG | 30 |
0.3%
|
| 18 | DAL | 30 |
0.3%
|
| 19 | DHARS | 96 |
1%
|
| 20 | DOMKI | 15 |
0.1%
|
| 21 | GASHKORI | 1 |
0%
|
| 22 | GHERANA/O | 7 |
0.1%
|
| 23 | GORCHANI | 8 |
0.1%
|
| 24 | GILL | 0 |
0%
|
| 25 | HAJJAM | 13 |
0.1%
|
| 26 | HALAYPOTA/O | 15 |
0.1%
|
| 27 | HINGORO | 70 |
0.7%
|
| 28 | JAA'T | 180 |
1.8%
|
| 29 | JARWAR | 51 |
0.5%
|
| 30 | JHASKANI | 14 |
0.1%
|
| 31 | JHULAN | 9 |
0.1%
|
| 32 | JOYA | 2 |
0%
|
| 33 | JUNEJO/A | 73 |
0.7%
|
| 34 | KACHHI | 145 |
1.4%
|
| 35 | KALAL | 9 |
0.1%
|
| 36 | KALHORO | 3 |
0%
|
| 37 | KALOI | 53 |
0.5%
|
| 38 | KAMBOH | 1 |
0%
|
| 39 | KAPRI | 34 |
0.3%
|
| 40 | KARAR | 2 |
0%
|
| 41 | KHASKHELI | 728 |
7.2%
|
| 42 | KHOSA/O | 132 |
1.3%
|
| 43 | KOLHI | 952 |
9.5%
|
| 44 | KOURI/O | 43 |
0.4%
|
| 45 | KUMHAR | 61 |
0.6%
|
| 46 | LAGHARI | 303 |
3%
|
| 47 | LASHARI | 58 |
0.6%
|
| 48 | LUND | 51 |
0.5%
|
| 49 | MACHAR | 0 |
0%
|
| 50 | MACHI | 95 |
0.9%
|
| 51 | MAJEEDANO | 30 |
0.3%
|
| 52 | MALLAH | 78 |
0.8%
|
| 53 | MANDHRA | 6 |
0.1%
|
| 54 | MANGHRIJA | 32 |
0.3%
|
| 55 | MARRI | 313 |
3.1%
|
| 56 | MENGTAAR/MENGHAAR/MENGHWAAR | 500 |
5%
|
| 57 | MUGHAL | 16 |
0.2%
|
| 58 | NIZAMANI | 50 |
0.5%
|
| 59 | NOHRI/O | 55 |
0.5%
|
| 60 | NOTKANI | 0 |
0%
|
| 61 | ODDH | 69 |
0.7%
|
| 62 | PALLI | 9 |
0.1%
|
| 63 | PANWAR/WARYA | 56 |
0.6%
|
| 64 | PARHYAR | 1 |
0%
|
| 65 | PATHAN | 70 |
0.7%
|
| 66 | RAJA | 23 |
0.2%
|
| 67 | RAJPUT | 129 |
1.3%
|
| 68 | RIND | 131 |
1.3%
|
| 69 | SAHITO | 21 |
0.2%
|
| 70 | SAMEJO/A | 32 |
0.3%
|
| 71 | SAMA/I | 37 |
0.4%
|
| 72 | SHAAR | 361 |
3.6%
|
| 73 | SHAH | 51 |
0.5%
|
| 74 | SHEEDI | 12 |
0.1%
|
| 75 | SHEIKH | 59 |
0.6%
|
| 76 | SIAL | 27 |
0.3%
|
| 77 | SOOMRA/O | 143 |
1.4%
|
| 78 | SORRO | 3 |
0%
|
| 79 | SYED | 20 |
0.2%
|
| 80 | TALPUR | 67 |
0.7%
|
| 81 | TANGRI | 0 |
0%
|
| 82 | TELI | 1 |
0%
|
| 83 | THEBO | 23 |
0.2%
|
| 84 | URMANI | 15 |
0.1%
|
| 85 | VIGAMAL | 2 |
0%
|
| 86 | WALLA | 0 |
0%
|
| 87 | ZAKHA | 1 |
0%
|
| 88 | BROHI | 233 |
2.3%
|
| 89 | GAMOORA | 1 |
0%
|
| 90 | HAJANA/O | 64 |
0.6%
|
| 91 | JAMALI | 45 |
0.4%
|
| 92 | JATOI | 2 |
0%
|
| 93 | JAM | 3 |
0%
|
| 94 | KHOKAR | 11 |
0.1%
|
| 95 | LAKHO/LAKHAR | 28 |
0.3%
|
| 96 | LOHAR | 3 |
0%
|
| 97 | MAGHWAR | 72 |
0.7%
|
| 98 | SAND | 19 |
0.2%
|
| 99 | SHORO/A | 3 |
0%
|
| 100 | OTHER(SPECIFY) | 2568 |
25.6%
|
| 101 | KAKA | 0 |
0%
|
| 102 | UNAR | 0 |
0%
|
| 103 | BAGRI | 0 |
0%
|
| 104 | BURARA | 0 |
0%
|
| 105 | KEERIO | 0 |
0%
|
| 106 | RAHU | 0 |
0%
|
| 107 | DETHA | 0 |
0%
|
| 108 | MEMON | 0 |
0%
|
| 109 | JALALANI | 0 |
0%
|
| 110 | ZARDARI | 0 |
0%
|
| 112 | GAMBEAR | 0 |
0%
|
| 113 | TURK | 0 |
0%
|
| 114 | RAHUJA | 0 |
0%
|
| 115 | UJJAN | 0 |
0%
|
| 116 | CHACHAR | 0 |
0%
|
| 117 | JAKHERA | 0 |
0%
|
| 118 | BEHAN | 0 |
0%
|
| 119 | CHANA | 0 |
0%
|
| 120 | HOTE | 0 |
0%
|
| 121 | BACHRA | 0 |
0%
|
| 122 | MOTIWAL | 0 |
0%
|
| 123 | MIRJAT | 0 |
0%
|
| 124 | BALAAL | 0 |
0%
|
| 125 | LOHAR | 0 |
0%
|
| 126 | BOOKE | 0 |
0%
|
| 127 | OTHO | 0 |
0%
|
| 128 | THAHEEM | 0 |
0%
|
| 129 | SAGRANSI | 0 |
0%
|
| 130 | MALOOKANI | 0 |
0%
|
| 131 | SHAHAM | 0 |
0%
|
| 132 | LAJWANI | 0 |
0%
|
| 133 | CHAJRO | 0 |
0%
|
| 134 | MEHAR | 0 |
0%
|
| 135 | FARASH | 0 |
0%
|
| 136 | DAHRI | 0 |
0%
|
| 137 | BHACHO | 0 |
0%
|
| 138 | MANGRIO | 0 |
0%
|
| 140 | ROJANI | 0 |
0%
|
| 141 | LAKHO | 0 |
0%
|
| 142 | FAQEER | 0 |
0%
|
| 143 | JASH | 0 |
0%
|
| 144 | KHOKHAR | 0 |
0%
|
| 145 | DAYO | 0 |
0%
|
| 146 | KOREJO | 0 |
0%
|
| 148 | AAHPUN | 0 |
0%
|
| 149 | NOHEJO | 0 |
0%
|
| 150 | SADAR | 0 |
0%
|
| 151 | MALIK | 0 |
0%
|
| 152 | QURESHI | 0 |
0%
|
| 153 | KAZI | 0 |
0%
|
| 154 | BARICHO | 0 |
0%
|
| 155 | CHUTTO | 0 |
0%
|
| 156 | KAHRI | 0 |
0%
|
| 157 | BURFAT | 0 |
0%
|
| 158 | GAHO | 0 |
0%
|
| 159 | BROHI | 0 |
0%
|
| 160 | WASAAN | 0 |
0%
|
| 161 | NOOH POTA | 0 |
0%
|
| 162 | SAHOWAL | 0 |
0%
|
| 163 | AAKHUND | 0 |
0%
|
| 164 | JAT | 0 |
0%
|
| 165 | BURDI | 0 |
0%
|
| 166 | SHAHOOKE | 0 |
0%
|
| 167 | GADO | 0 |
0%
|
| 168 | QUMBRANI | 0 |
0%
|
| 169 | KHUSHIK | 0 |
0%
|
| 170 | GAHEELO | 0 |
0%
|
| 171 | JAKHRIJO | 0 |
0%
|
| 172 | BEHRANI | 0 |
0%
|
| 173 | TANGRI | 0 |
0%
|
| 175 | BUGTI | 0 |
0%
|
| 177 | MAKRANI | 0 |
0%
|
| 178 | JAFRANI | 0 |
0%
|
| 179 | MAGWANO | 0 |
0%
|
| 180 | WARAICH | 0 |
0%
|
| 181 | KATIYAR | 0 |
0%
|
| 183 | VIGHIO | 0 |
0%
|
| 184 | GOPANG | 0 |
0%
|
| 185 | TAGER | 0 |
0%
|
| 186 | HOMOPOTO | 0 |
0%
|
| 187 | WASEER | 0 |
0%
|
| 188 | HAKRA | 0 |
0%
|
| 189 | JAHEJO | 0 |
0%
|
| 190 | KHEDRI | 0 |
0%
|
| 191 | MOOROJA | 0 |
0%
|
| 192 | SANJRANI | 0 |
0%
|
| 193 | LODHO | 0 |
0%
|
| 194 | CHAND | 0 |
0%
|
| 195 | MAWATI | 0 |
0%
|
| 196 | AWAN | 0 |
0%
|
| 197 | MAGSI | 0 |
0%
|
| 198 | PUNJABI | 0 |
0%
|
| 199 | WASAN | 0 |
0%
|
| 200 | CHANIHON | 0 |
0%
|
| 201 | THAKUR | 0 |
0%
|
| 202 | RAJER | 0 |
0%
|
| 203 | NOHANI | 0 |
0%
|
| 204 | NAREJO | 0 |
0%
|
| 205 | KHATAK | 0 |
0%
|
| 206 | HINGORJO | 0 |
0%
|
| 207 | MALKANI | 0 |
0%
|
| 208 | BALOCH | 0 |
0%
|
| 209 | MOOSANI | 0 |
0%
|
| 210 | CHEHWAN | 0 |
0%
|
| 211 | BIJARANI | 0 |
0%
|
| 212 | BULEDI | 0 |
0%
|
| 213 | BUGIYO | 0 |
0%
|
| 214 | PAHORE | 0 |
0%
|
| 215 | QAIMKHANI | 0 |
0%
|
| 216 | LISKANI | 0 |
0%
|
| 217 | RAHMOON | 0 |
0%
|
| 218 | KHAIR | 0 |
0%
|
| 219 | KANHEYO | 0 |
0%
|
| 220 | MANGRIO | 0 |
0%
|
| 221 | SADO | 0 |
0%
|
| 222 | KALRO | 0 |
0%
|
| 223 | BHAT | 0 |
0%
|
| 224 | RAHMOON | 0 |
0%
|
| 225 | CHOUDERY | 0 |
0%
|
| 226 | PALARI | 0 |
0%
|
| 227 | RANDAN | 0 |
0%
|
| 228 | DHOMKI | 0 |
0%
|
| 229 | KACHELO | 0 |
0%
|
| 230 | NUDANI | 0 |
0%
|
| 231 | BANGLANI | 0 |
0%
|
| 232 | CHARO | 0 |
0%
|
| 233 | RAI | 0 |
0%
|
| 234 | LABARI | 0 |
0%
|
| 235 | PITAFI | 0 |
0%
|
| 236 | KHANZADO | 0 |
0%
|
| 237 | SAND | 0 |
0%
|
| 238 | MUGHERI | 0 |
0%
|
| 239 | BULADI | 0 |
0%
|
| 240 | COMBOHE | 0 |
0%
|
| 241 | GURGEZ | 0 |
0%
|
| 242 | KATHELA | 0 |
0%
|
| 243 | MOSEPOTA | 0 |
0%
|
| 244 | ROONJHO | 0 |
0%
|
| 245 | ABRING | 0 |
0%
|
| 246 | DAUDPOTA | 0 |
0%
|
| 247 | MEWATI | 0 |
0%
|
| 248 | BUGTI | 0 |
0%
|
| 249 | NODANI | 0 |
0%
|
| 250 | NUGRICH | 0 |
0%
|
| 251 | MOUJOTHO | 0 |
0%
|
| 252 | RANGHAM | 0 |
0%
|
| 253 | GUJAR | 0 |
0%
|
| 254 | KUNDANI | 0 |
0%
|
| 255 | MASHORI | 0 |
0%
|
| 256 | KOLROO | 0 |
0%
|
| 257 | ESSAI | 0 |
0%
|
| 258 | DEEWAN | 0 |
0%
|
| 259 | LARARO | 0 |
0%
|
| 260 | SARIYA | 0 |
0%
|
| 261 | KHYBER | 0 |
0%
|
| 262 | CHUTTO | 0 |
0%
|
| 263 | DAUDPOTA | 0 |
0%
|
| 264 | KANRYO | 0 |
0%
|
| 265 | DEERO | 0 |
0%
|
| 266 | MATHLO | 0 |
0%
|
| 267 | MOTHO | 0 |
0%
|
| 268 | JAHEJO | 0 |
0%
|
| 269 | PATHAN | 0 |
0%
|
| 270 | MANGAL | 0 |
0%
|
| 271 | GANGLA | 0 |
0%
|
| 272 | SODHO | 0 |
0%
|
| 273 | CHOHAN | 0 |
0%
|
| 274 | BHAYA | 0 |
0%
|
| 275 | VAAGA | 0 |
0%
|
| 276 | MEHRAJ | 0 |
0%
|
| 277 | GAJU | 0 |
0%
|
| 278 | BODANI | 0 |
0%
|
| 279 | BAGHRANI | 0 |
0%
|
| 280 | PHARANI | 0 |
0%
|
| 281 | BHANOJO | 0 |
0%
|
| 282 | SAHI | 0 |
0%
|
| 283 | JATOI | 0 |
0%
|
| 284 | MAGSI | 0 |
0%
|
| 285 | MALANO | 0 |
0%
|
| 286 | BHANGWAR | 0 |
0%
|
| 287 | ABU POTTO | 0 |
0%
|
| 288 | KAKI POTTO | 0 |
0%
|
| 289 | KASH | 0 |
0%
|
| 290 | RAJPER | 0 |
0%
|
| 291 | JANWARI | 0 |
0%
|
| 292 | SUKHAEY | 0 |
0%
|
| 293 | CHANGO | 0 |
0%
|
| 294 | JALBANI | 0 |
0%
|
| 295 | SIRIWAL | 0 |
0%
|
| 296 | MAHRIO | 0 |
0%
|
| 297 | SUNDRANI | 0 |
0%
|
| 298 | BANGLANI | 0 |
0%
|
| 299 | CHAKRANI | 0 |
0%
|
| 300 | MULLAN | 0 |
0%
|
| 301 | BAJWA | 0 |
0%
|
| 302 | WAJLO | 0 |
0%
|
| 303 | KAKRI | 0 |
0%
|
| 304 | KATHORO | 0 |
0%
|
| 305 | CHANER | 0 |
0%
|
| 306 | RAISE | 0 |
0%
|
| 307 | MUGHERI | 0 |
0%
|
| 308 | CHAJRO | 0 |
0%
|
| 309 | LANDER | 0 |
0%
|
| 310 | DEEPER | 0 |
0%
|
| 311 | NARIJO | 0 |
0%
|
| 312 | GILL | 0 |
0%
|
| 313 | CHIRSTION | 0 |
0%
|
| 314 | LANDER | 0 |
0%
|
| 315 | GHUMON | 0 |
0%
|
| 316 | QURESHI | 0 |
0%
|
| 317 | JALALANI | 0 |
0%
|
| 318 | BUBER | 0 |
0%
|
| 319 | KOTHER | 0 |
0%
|
| 320 | BALADI | 0 |
0%
|
| 321 | SANGRASI | 0 |
0%
|
| 322 | RANG | 0 |
0%
|
| 323 | SHOHOUQE | 0 |
0%
|
| 324 | CHAWAN | 0 |
0%
|
| 325 | PALIYO | 0 |
0%
|
| 326 | KHUMON | 0 |
0%
|
| 327 | KOLACHI | 0 |
0%
|
| 328 | WARYAH | 0 |
0%
|
| 329 | TALHANI | 0 |
0%
|
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.