Encuesta Nacional de Programas Presupuestales 2017
Peru, 2017
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Dec 05, 2019
Last modified
Dec 05, 2019
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¿EN QUÉ PROVINCIA SUCEDIÓ EL Estafa?_NOMBRE (P602C_13_NOM)
Data file: CAP_600_URBANO_7
Overview
Valid:
3430
Invalid:
0
Type:
Discrete
Start:
3875
End:
3896
Width:
22
Range:
-
Format:
character
Questions and instructions
Literal question
602C.13 ¿En qué provincia sucedió el: Estafa? - Nombre Provincia
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABANCAY | 67 |
2%
|
|
| ACOBAMBA | 19 |
0.6%
|
|
| ACOMAYO | 3 |
0.1%
|
|
| ALTO AMAZONAS | 4 |
0.1%
|
|
| AMBO | 1 |
0%
|
|
| ANDAHUAYLAS | 29 |
0.8%
|
|
| ANGARAES | 15 |
0.4%
|
|
| ANTA | 4 |
0.1%
|
|
| AREQUIPA | 86 |
2.5%
|
|
| ASCOPE | 9 |
0.3%
|
|
| ATALAYA | 4 |
0.1%
|
|
| AZANGARO | 12 |
0.3%
|
|
| BAGUA | 7 |
0.2%
|
|
| BARRANCA | 31 |
0.9%
|
|
| BELLAVISTA | 1 |
0%
|
|
| BONGARA | 3 |
0.1%
|
|
| CAJAMARCA | 21 |
0.6%
|
|
| CALCA | 2 |
0.1%
|
|
| CALLAO | 197 |
5.7%
|
|
| CAMANA | 5 |
0.1%
|
|
| CANCHIS | 21 |
0.6%
|
|
| CANGALLO | 2 |
0.1%
|
|
| CARABAYA | 2 |
0.1%
|
|
| CARAVELI | 3 |
0.1%
|
|
| CARHUAZ | 1 |
0%
|
|
| CASMA | 2 |
0.1%
|
|
| CASTILLA | 1 |
0%
|
|
| CAYLLOMA | 9 |
0.3%
|
|
| CAÑETE | 17 |
0.5%
|
|
| CELENDIN | 1 |
0%
|
|
| CHACHAPOYAS | 23 |
0.7%
|
|
| CHANCHAMAYO | 13 |
0.4%
|
|
| CHEPEN | 11 |
0.3%
|
|
| CHICLAYO | 19 |
0.6%
|
|
| CHINCHA | 13 |
0.4%
|
|
| CHINCHEROS | 2 |
0.1%
|
|
| CHOTA | 2 |
0.1%
|
|
| CHUCUITO | 8 |
0.2%
|
|
| CHUPACA | 3 |
0.1%
|
|
| CHURCAMPA | 5 |
0.1%
|
|
| CONCEPCION | 6 |
0.2%
|
|
| CONTUMAZA | 1 |
0%
|
|
| CORONEL PORTILLO | 81 |
2.4%
|
|
| COTABAMBAS | 2 |
0.1%
|
|
| CUSCO | 120 |
3.5%
|
|
| CUTERVO | 4 |
0.1%
|
|
| DANIEL ALCIDES CARRION | 5 |
0.1%
|
|
| EL COLLAO | 9 |
0.3%
|
|
| EL DORADO | 1 |
0%
|
|
| ESPINAR | 7 |
0.2%
|
|
| FERREÑAFE | 1 |
0%
|
|
| HUALGAYOC | 1 |
0%
|
|
| HUAMALIES | 1 |
0%
|
|
| HUAMANGA | 83 |
2.4%
|
|
| HUANCA SANCOS | 2 |
0.1%
|
|
| HUANCANE | 1 |
0%
|
|
| HUANCAVELICA | 80 |
2.3%
|
|
| HUANCAYO | 145 |
4.2%
|
|
| HUANTA | 10 |
0.3%
|
|
| HUANUCO | 21 |
0.6%
|
|
| HUARAL | 15 |
0.4%
|
|
| HUARAZ | 23 |
0.7%
|
|
| HUARMEY | 6 |
0.2%
|
|
| HUAROCHIRI | 4 |
0.1%
|
|
| HUAURA | 24 |
0.7%
|
|
| HUAYTARA | 1 |
0%
|
|
| ICA | 46 |
1.3%
|
|
| ILO | 17 |
0.5%
|
|
| ISLAY | 2 |
0.1%
|
|
| JAEN | 10 |
0.3%
|
|
| JAUJA | 4 |
0.1%
|
|
| JORGE BASADRE | 3 |
0.1%
|
|
| JUNIN | 3 |
0.1%
|
|
| LA CONVENCION | 21 |
0.6%
|
|
| LA MAR | 5 |
0.1%
|
|
| LAMAS | 4 |
0.1%
|
|
| LAMBAYEQUE | 5 |
0.1%
|
|
| LAMPA | 3 |
0.1%
|
|
| LEONCIO PRADO | 7 |
0.2%
|
|
| LIMA | 502 |
14.6%
|
|
| LORETO | 3 |
0.1%
|
|
| LUCANAS | 3 |
0.1%
|
|
| LUYA | 1 |
0%
|
|
| MANU | 18 |
0.5%
|
|
| MARISCAL CACERES | 1 |
0%
|
|
| MARISCAL NIETO | 41 |
1.2%
|
|
| MARISCAL RAMON CASTILL | 4 |
0.1%
|
|
| MAYNAS | 61 |
1.8%
|
|
| MELGAR | 3 |
0.1%
|
|
| MOHO | 1 |
0%
|
|
| MORROPON | 4 |
0.1%
|
|
| MOYOBAMBA | 83 |
2.4%
|
|
| NAZCA | 9 |
0.3%
|
|
| OTUZCO | 5 |
0.1%
|
|
| OXAPAMPA | 15 |
0.4%
|
|
| OYON | 2 |
0.1%
|
|
| PACASMAYO | 2 |
0.1%
|
|
| PADRE ABAD | 14 |
0.4%
|
|
| PAITA | 7 |
0.2%
|
|
| PALLASCA | 2 |
0.1%
|
|
| PARINACOCHAS | 3 |
0.1%
|
|
| PASCO | 84 |
2.4%
|
|
| PATAZ | 2 |
0.1%
|
|
| PAUCARTAMBO | 4 |
0.1%
|
|
| PICOTA | 1 |
0%
|
|
| PISCO | 14 |
0.4%
|
|
| PIURA | 71 |
2.1%
|
|
| PUERTO INCA | 2 |
0.1%
|
|
| PUNO | 47 |
1.4%
|
|
| QUISPICANCHI | 6 |
0.2%
|
|
| REQUENA | 1 |
0%
|
|
| RIOJA | 14 |
0.4%
|
|
| RODRIGUEZ DE MENDOZA | 4 |
0.1%
|
|
| SAN ANTONIO DE PUTINA | 9 |
0.3%
|
|
| SAN IGNACIO | 2 |
0.1%
|
|
| SAN MARCOS | 1 |
0%
|
|
| SAN MARTIN | 26 |
0.8%
|
|
| SAN MIGUEL | 1 |
0%
|
|
| SAN ROMAN | 64 |
1.9%
|
|
| SANCHEZ CARRION | 8 |
0.2%
|
|
| SANDIA | 6 |
0.2%
|
|
| SANTA | 174 |
5.1%
|
|
| SATIPO | 8 |
0.2%
|
|
| SECHURA | 2 |
0.1%
|
|
| SULLANA | 14 |
0.4%
|
|
| TACNA | 245 |
7.1%
|
|
| TALARA | 6 |
0.2%
|
|
| TAMBOPATA | 124 |
3.6%
|
|
| TARATA | 11 |
0.3%
|
|
| TARMA | 15 |
0.4%
|
|
| TAYACAJA | 19 |
0.6%
|
|
| TOCACHE | 3 |
0.1%
|
|
| TRUJILLO | 126 |
3.7%
|
|
| TUMBES | 21 |
0.6%
|
|
| UCAYALI | 5 |
0.1%
|
|
| URUBAMBA | 11 |
0.3%
|
|
| UTCUBAMBA | 20 |
0.6%
|
|
| VIRU | 2 |
0.1%
|
|
| YAULI | 2 |
0.1%
|
|
| YUNGAY | 3 |
0.1%
|
|
| YUNGUYO | 2 |
0.1%
|
|
| ZARUMILLA | 4 |
0.1%
|
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.
Description
Definition
Esta variable permite conocer el nombre de la provincia en que sucedió la estafa.
Universe
Comprende las viviendas particulares y sus ocupantes residentes habituales del área urbana y área rural del país.
No forman parte del estudio las personas que residen en viviendas colectivas (hospitales, hoteles, asilos, claustros religiosos, cuarteles, cárceles, etc.).
No forman parte del estudio las personas que residen en viviendas colectivas (hospitales, hoteles, asilos, claustros religiosos, cuarteles, cárceles, etc.).
Source of information
Corresponde tomar información de esta pregunta a todos los residentes habituales del hogar de 14 y más años de edad.