Encuesta de Hogares 2019
Bolivia, 2019 - 2020
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
12929
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CODIGO:Provincia (s11a_5bcod)
Data file: EH2019_TurismoInterno.sav
Overview
Valid:
27757
Invalid:
-
Type:
Discrete
Start:
39
End:
42
Width:
4
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 24817 |
89.4%
|
||
| 0101 | 0101.Oropeza | 174 |
0.6%
|
| 0102 | 0102.Azurduy | 12 |
0%
|
| 0103 | 0103.Zudáñez | 9 |
0%
|
| 0104 | 0104.Tomina | 7 |
0%
|
| 0105 | 0105.Hernando Siles | 17 |
0.1%
|
| 0106 | 0106.Yamparáez | 3 |
0%
|
| 0107 | 0107.Nor Cinti | 9 |
0%
|
| 0108 | 0108.Belisario Boeto | 2 |
0%
|
| 0109 | 0109.Sud Cinti | 2 |
0%
|
| 0201 | 0201.Murillo | 327 |
1.2%
|
| 0202 | 0202.Omasuyos | 34 |
0.1%
|
| 0203 | 0203.Pacajes | 20 |
0.1%
|
| 0204 | 0204.Camacho | 21 |
0.1%
|
| 0205 | 0205.Muñecas | 1 |
0%
|
| 0206 | 0206.Larecaja | 16 |
0.1%
|
| 0207 | 0207.Franz Tamayo | 2 |
0%
|
| 0208 | 0208.Ingavi | 18 |
0.1%
|
| 0209 | 0209.Loayza | 14 |
0.1%
|
| 0210 | 0210.Inquisivi | 8 |
0%
|
| 0211 | 0211.Sud Yungas | 24 |
0.1%
|
| 0212 | 0212.Los Andes | 13 |
0%
|
| 0213 | 0213.Aroma | 7 |
0%
|
| 0214 | 0214.Nor Yungas | 52 |
0.2%
|
| 0215 | 0215.Abel Iturralde | 5 |
0%
|
| 0217 | 0217.Manco Kapac | 79 |
0.3%
|
| 0219 | 0219.José Manuel Pando | 3 |
0%
|
| 0220 | 0220.Caranavi | 36 |
0.1%
|
| 0301 | 0301.Cercado | 383 |
1.4%
|
| 0302 | 0302.Campero | 8 |
0%
|
| 0303 | 0303.Ayopaya | 8 |
0%
|
| 0304 | 0304.Esteban Arze | 5 |
0%
|
| 0305 | 0305.Arani | 10 |
0%
|
| 0306 | 0306.Arque | 4 |
0%
|
| 0307 | 0307.Capinota | 3 |
0%
|
| 0308 | 0308.Germán Jordán | 3 |
0%
|
| 0309 | 0309.Quillacollo | 25 |
0.1%
|
| 0310 | 0310.Chapare | 43 |
0.2%
|
| 0311 | 0311.Tapacarí | 1 |
0%
|
| 0312 | 0312.Carrasco | 29 |
0.1%
|
| 0313 | 0313.Mizque | 9 |
0%
|
| 0314 | 0314.Punata | 2 |
0%
|
| 0315 | 0315.Bolívar | 2 |
0%
|
| 0316 | 0316.Tiraque | 4 |
0%
|
| 0401 | 0401.Cercado | 164 |
0.6%
|
| 0402 | 0402.Abaroa | 15 |
0.1%
|
| 0403 | 0403.Carangas | 1 |
0%
|
| 0404 | 0404.Sajama | 6 |
0%
|
| 0405 | 0405.Litoral | 1 |
0%
|
| 0406 | 0406.Poopó | 1 |
0%
|
| 0407 | 0407.Pantaleón Dalence | 4 |
0%
|
| 0408 | 0408.Ladislao Cabrera | 1 |
0%
|
| 0410 | 0410.Saucarí | 2 |
0%
|
| 0413 | 0413.San Pedro de Totora | 2 |
0%
|
| 0414 | 0414.Sebastián Pagador | 3 |
0%
|
| 0415 | 0415.Mejillones | 1 |
0%
|
| 0501 | 0501.Tomás Frías | 91 |
0.3%
|
| 0502 | 0502.Rafael Bustillo | 44 |
0.2%
|
| 0503 | 0503.Cornelio Saavedra | 7 |
0%
|
| 0504 | 0504.Chayanta | 11 |
0%
|
| 0505 | 0505.Charcas | 3 |
0%
|
| 0506 | 0506.Nor Chichas | 13 |
0%
|
| 0507 | 0507.Alonso de Ibañez | 1 |
0%
|
| 0508 | 0508.Sur Chichas | 17 |
0.1%
|
| 0512 | 0512.Antonio Quijarro | 36 |
0.1%
|
| 0513 | 0513.Bernardino Bilbao Rioja | 2 |
0%
|
| 0514 | 0514.Daniel Campos | 1 |
0%
|
| 0515 | 0515.Modesto Omiste | 14 |
0.1%
|
| 0601 | 0601.Cercado | 94 |
0.3%
|
| 0602 | 0602.Aniceto Arce | 17 |
0.1%
|
| 0603 | 0603.Gran Chaco | 52 |
0.2%
|
| 0605 | 0605.Méndez | 2 |
0%
|
| 0606 | 0606.Burnet O' Connor | 9 |
0%
|
| 0701 | 0701.Andrés Ibáñez | 363 |
1.3%
|
| 0702 | 0702.Warnes | 23 |
0.1%
|
| 0703 | 0703.Velasco | 16 |
0.1%
|
| 0704 | 0704.Ichilo | 13 |
0%
|
| 0705 | 0705.Chiquitos | 48 |
0.2%
|
| 0706 | 0706.Sara | 3 |
0%
|
| 0707 | 0707.Cordillera | 32 |
0.1%
|
| 0708 | 0708.Vallegrande | 26 |
0.1%
|
| 0709 | 0709.Florida | 25 |
0.1%
|
| 0710 | 0710.Obispo Santiestevan | 7 |
0%
|
| 0711 | 0711.Ñuflo de Chávez | 7 |
0%
|
| 0712 | 0712.Ángel Sandóval | 1 |
0%
|
| 0713 | 0713.Manuel Maria Caballero | 9 |
0%
|
| 0714 | 0714.German Busch | 8 |
0%
|
| 0715 | 0715.Guarayos | 4 |
0%
|
| 0801 | 0801.Cercado | 32 |
0.1%
|
| 0802 | 0802.Vaca Díez | 33 |
0.1%
|
| 0803 | 0803.José Ballivian | 14 |
0.1%
|
| 0804 | 0804.Yacuma | 3 |
0%
|
| 0805 | 0805.Moxos | 2 |
0%
|
| 0807 | 0807.Mamoré | 1 |
0%
|
| 0808 | 0808.Iténez | 2 |
0%
|
| 0901 | 0901.Nicolás Suárez | 15 |
0.1%
|
| 0902 | 0902.Manuripi | 3 |
0%
|
| 0903 | 0903.Madre de Dios | 2 |
0%
|
| 0904 | 0904.Abuná | 1 |
0%
|
| 9999 | 178 |
0.6%
|
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.