Encuesta Nacional de Programas Presupuestales 2016
Peru, 2016 - 2017
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Dec 05, 2019
Last modified
Dec 05, 2019
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¿en quÉ provincia sucedio el robo del negocio?_nombre (P602C_14_NOM)
Data file: CAP_600_URBANO_1
Overview
Valid:
594
Invalid:
0
Type:
Discrete
Start:
4545
End:
4567
Width:
23
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABANCAY | 9 |
1.5%
|
|
| ACOBAMBA | 3 |
0.5%
|
|
| ALTO AMAZONAS | 3 |
0.5%
|
|
| ANDAHUAYLAS | 5 |
0.8%
|
|
| ANGARAES | 2 |
0.3%
|
|
| AREQUIPA | 15 |
2.5%
|
|
| ASCOPE | 1 |
0.2%
|
|
| ATALAYA | 1 |
0.2%
|
|
| AYMARAES | 1 |
0.2%
|
|
| AZANGARO | 2 |
0.3%
|
|
| BARRANCA | 2 |
0.3%
|
|
| BELLAVISTA | 4 |
0.7%
|
|
| BONGARA | 2 |
0.3%
|
|
| CAJAMARCA | 11 |
1.9%
|
|
| CALLAO | 14 |
2.4%
|
|
| CANCHIS | 2 |
0.3%
|
|
| CANTA | 1 |
0.2%
|
|
| CARAVELI | 1 |
0.2%
|
|
| CARHUAZ | 1 |
0.2%
|
|
| CAYLLOMA | 2 |
0.3%
|
|
| CAÑETE | 4 |
0.7%
|
|
| CHACHAPOYAS | 8 |
1.3%
|
|
| CHANCHAMAYO | 3 |
0.5%
|
|
| CHEPEN | 3 |
0.5%
|
|
| CHICLAYO | 5 |
0.8%
|
|
| CHINCHA | 2 |
0.3%
|
|
| CHUCUITO | 4 |
0.7%
|
|
| CHURCAMPA | 1 |
0.2%
|
|
| CONCEPCION | 1 |
0.2%
|
|
| CONDORCANQUI | 1 |
0.2%
|
|
| CORONEL PORTILLO | 15 |
2.5%
|
|
| COTABAMBAS | 2 |
0.3%
|
|
| CUSCO | 19 |
3.2%
|
|
| CUTERVO | 4 |
0.7%
|
|
| DANIEL ALCIDES CARRION | 1 |
0.2%
|
|
| EL COLLAO | 1 |
0.2%
|
|
| ESPINAR | 1 |
0.2%
|
|
| HUALGAYOC | 3 |
0.5%
|
|
| HUALLAGA | 1 |
0.2%
|
|
| HUAMANGA | 12 |
2%
|
|
| HUANCA SANCOS | 1 |
0.2%
|
|
| HUANCAVELICA | 11 |
1.9%
|
|
| HUANCAYO | 14 |
2.4%
|
|
| HUANTA | 1 |
0.2%
|
|
| HUANUCO | 11 |
1.9%
|
|
| HUARAZ | 10 |
1.7%
|
|
| HUAURA | 3 |
0.5%
|
|
| HUAYLAS | 1 |
0.2%
|
|
| ICA | 7 |
1.2%
|
|
| ILO | 6 |
1%
|
|
| ISLAY | 1 |
0.2%
|
|
| JAEN | 3 |
0.5%
|
|
| JAUJA | 2 |
0.3%
|
|
| JULCAN | 1 |
0.2%
|
|
| LA CONVENCION | 2 |
0.3%
|
|
| LA MAR | 1 |
0.2%
|
|
| LAMPA | 2 |
0.3%
|
|
| LEONCIO PRADO | 3 |
0.5%
|
|
| LIMA | 35 |
5.9%
|
|
| MANU | 1 |
0.2%
|
|
| MARISCAL CACERES | 3 |
0.5%
|
|
| MARISCAL NIETO | 6 |
1%
|
|
| MARISCAL RAMON CASTILLA | 4 |
0.7%
|
|
| MAYNAS | 35 |
5.9%
|
|
| MORROPON | 1 |
0.2%
|
|
| MOYOBAMBA | 14 |
2.4%
|
|
| NAZCA | 2 |
0.3%
|
|
| OXAPAMPA | 1 |
0.2%
|
|
| PACASMAYO | 2 |
0.3%
|
|
| PADRE ABAD | 6 |
1%
|
|
| PAITA | 4 |
0.7%
|
|
| PASCO | 14 |
2.4%
|
|
| PATAZ | 1 |
0.2%
|
|
| PIURA | 17 |
2.9%
|
|
| PUNO | 7 |
1.2%
|
|
| QUISPICANCHI | 2 |
0.3%
|
|
| RIOJA | 1 |
0.2%
|
|
| SAN ANTONIO DE PUTINA | 1 |
0.2%
|
|
| SAN MARTIN | 18 |
3%
|
|
| SAN ROMAN | 8 |
1.3%
|
|
| SANCHEZ CARRION | 3 |
0.5%
|
|
| SANTA | 8 |
1.3%
|
|
| SATIPO | 3 |
0.5%
|
|
| SULLANA | 3 |
0.5%
|
|
| TACNA | 39 |
6.6%
|
|
| TAHUAMANU | 2 |
0.3%
|
|
| TALARA | 3 |
0.5%
|
|
| TAMBOPATA | 37 |
6.2%
|
|
| TARATA | 3 |
0.5%
|
|
| TARMA | 1 |
0.2%
|
|
| TAYACAJA | 2 |
0.3%
|
|
| TOCACHE | 4 |
0.7%
|
|
| TRUJILLO | 23 |
3.9%
|
|
| TUMBES | 12 |
2%
|
|
| UCAYALI | 3 |
0.5%
|
|
| URUBAMBA | 4 |
0.7%
|
|
| UTCUBAMBA | 3 |
0.5%
|
|
| YAULI | 2 |
0.3%
|
|
| ZARUMILLA | 3 |
0.5%
|
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 no está considerado en el cuestionario de la Encuesta Nacional de Programas Presupuestales 2016.