Peru Census Population: Cusco data was reported at 1,205,527.000 Person in 2017. This records an increase from the previous number of 1,171,403.000 Person for 2007. Peru Census Population: Cusco data is updated yearly, averaging 832,504.000 Person from Jun 1940 (Median) to 2017, with 7 observations. The data reached an all-time high of 1,205,527.000 Person in 2017 and a record low of 486,592.000 Person in 1940. Peru Census Population: Cusco data remains active status in CEIC and is reported by National Institute of Statistics and Informatics. The data is categorized under Global Database’s Peru – Table PE.G003: Population: Census by Department.

Peru Population: Rural: Cusco data was reported at 585,445.000 Person in 2015. This records a decrease from the previous number of 593,142.000 Person for 2014. Peru Population: Rural: Cusco data is updated yearly, averaging 640,112.500 Person from Jun 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 679,980.000 Person in 2000 and a record low of 585,445.000 Person in 2015. Peru Population: Rural: Cusco data remains active status in CEIC and is reported by National Institute of Statistics and Information Science. The data is categorized under Global Database’s Peru – Table PE.G003: Population: by Region.

Abstract

The Instituto Nacional de Estadística e Informática (INEI) in Peru carried out the Encuesta Dirigida a la Población Venezolana que Reside en el País (ENPOVE) survey between the months of November and December 2018 in order to gain a better understanding of the Venezuelan population residing in Peru.

The survey was carried out in the capital cities in the departments of Tumbes, La Libertad, Lima-Callao, Arequipa and Cusco, which together are home to 85% of the Venezuelan population in the country. The purpose of the survey was to provide reliable data on the living conditions of the Venezuelan population residing in Peru, including: demographic and social aspects, immigration status, discrimination, violence, health, employment, education, access to basic services, housing and home equipment.

The information can be used by international organizations, researchers, and public policy makers to formulate actions, policies, plans, programs, and projects to meet the most urgent needs of this group. The World Bank, UNHCR, IOM, UNFPA and UNICEF provided technical and financial support to the survey.

Geographic coverage

Urban area of capital cities of the regions of Tumbes, La Libertad, Arequipa, Cusco, Lima and Callao.

Analysis unit

Household and individual

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling is probabilistic and stratified. The sampling consists of two stages, the primary sampling unit being the block, which is defined as the urban geographic area delimited by roads. The secondary sampling unit is the dwelling with at least one Venezuelan person that exists within a block. For the households that are finally selected, information is obtained from all the individuals.

The sampling frame for the blocks was constructed as follows: i) The addresses of 58,067 Venezuelan people registered in the 2017 Population and Housing Census were identified. ii) The addresses of 10,076 people were available registered in the registry of Venezuelans who applied for the Temporary Permit of Permanence from the National Superintendency of Migration of the Ministry of the Interior. iii) The blocks containing the addresses of the aforementioned information sources were identified using the Geographic Information System. A global framework of 19,074 blocks was built.

The concept of block used in the survey is a physical area delimited by streets, avenues, roads, canals, etc. easily identifiable and can contain one or more homes, parks, vacant lots, sports fields, etc.

The original design of the sample included the construction of three strata based on the number of dwellings with a Venezuelan population found in each block of the sampling frame: 1 to 5, 6 to 10, greater than 10. On the other hand, the population of the city of Lima was divided into 4 zones with the following districts:

North Lima: Los Olivos, San Martn De Porres, Comas, Carabayllo, Independencia, Puente Piedra East Lima: San Juan De Lurigancho, Ate, Santa Anita, El Agustino, San Luis, La Molina, Lurigancho Downtown Lima: La Victoria, Lima, Santiago De Surco, Surquillo, San Miguel, Brea, Barranco, Rmac, Lince Jesus Maria, Magdalena Del Mar, San Borja South Lima: Chorrillos, San Juan De Miraflores, Villa El Salvador, Villa Mara Del Triunfo, Lurn, Pachacamac

The housing framework was built by means of an exhaustive registry of buildings and dwellings in each of the selected blocks, identifying those places, be they dwellings or establishments, that had a population from Venezuela. The concept of housing for the purposes of the survey included private and collective dwellings (hotels, hostels, lodgings, churches and shelters), where the Venezuelan population is found. This concept is different from the one used in the regular INEI household surveys, which only considers private households with a maximum of 5 households. The concept of the household used was: People, whether or not they are related, who share the main meals and attend to their vital needs in common. This concept is different from that used in the INEI household surveys, where the budget is considered.

Mode of data collection

Face-to-face [f2f]

Abstract

This flow monitoring seeks to analyze the population mobility's dynamics of Venezuelan refugees and migrants at the border, their protection needs and vulnerabilities in the context of the COVID-19 emergency. For the most part, families in transit are walking or asking for hitchhiking and crossing the borders by irregular steps, this increases protection risks on the route. The analysis of this information contributes to the design of responses to mitigate protection risks. The results should be considered as general indicators and are not statistically representative.

Geographic coverage

Cusco and Madre de Dios

Analysis unit

Group and member

Kind of data

Event/transaction data [evn]

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire contained the following sections: general information, route, family characteristics, member characteristics, incidents, coping strategies.

Population 15-64 years of Cuzco improved by 1.08% from 824,827 number in 2012 to 833,765 number in 2013. Since the 2.01% growth in 2003, population 15-64 years surged by 13.51% in 2013.

Total male population of Cuzco surged by 12.95% from 517,798 number in 1993 to 584,868 number in 2007. Since the 12.95% jump in 2007, total male population remained stable by 0.00% in 2007.

0,65 (%) in 2013.

Census Population：库斯科在06-01-2017达1,205,527.000人，相较于06-01-2007的1,171,403.000人有所增长。Census Population：库斯科数据按年更新，06-01-1940至06-01-2017期间平均值为832,504.000人，共7份观测结果。该数据的历史最高值出现于06-01-2017，达1,205,527.000人，而历史最低值则出现于06-01-1940，为486,592.000人。CEIC提供的Census Population：库斯科数据处于定期更新的状态，数据来源于Instituto Nacional de Estadistica e Informatica，数据归类于全球数据库的秘鲁 – Table PE.G003: Population: Census by Department。

秘鲁 Population: Urban: Cusco在2015达731,284.000 人口，相较于2014的715,664.000 人口有所增长。秘鲁 Population: Urban: Cusco数据按每年更新，2000至2015期间平均值为612,024.000 人口，共16份观测结果。该数据的历史最高值出现于2015，达731,284.000 人口，而历史最低值则出现于2000，为493,777.000 人口。CEIC提供的秘鲁 Population: Urban: Cusco数据处于定期更新的状态，数据来源于National Institute of Statistics and Information Science，数据归类于Global Database的秘鲁 – Table PE.G003: Population: by Region。

秘鲁 Population: Rural: Cusco在2015达585,445.000 人口，相较于2014的593,142.000 人口有所下降。秘鲁 Population: Rural: Cusco数据按每年更新，2000至2015期间平均值为640,112.500 人口，共16份观测结果。该数据的历史最高值出现于2000，达679,980.000 人口，而历史最低值则出现于2015，为585,445.000 人口。CEIC提供的秘鲁 Population: Rural: Cusco数据处于定期更新的状态，数据来源于National Institute of Statistics and Information Science，数据归类于Global Database的秘鲁 – Table PE.G003: Population: by Region。

83,328 (Number) in 2007.

82.80 (%) in 2011.

16,30 (Persons per Sq. Km) in 2007.

13.20 (%) in 2012.

1.171.403 (Number) in 2007.

Inactivity rate of population of Cuzco soared by 16.67% from 18.36 % in 2009 to 21.42 % in 2010. Since the 13.52% slump in 2008, inactivity rate of population jumped by 9.12% in 2010.

44.634 (Number) in 2007.

1,93 (%) in 2012.

72,16 (%) in 2013.

23,60 (%) in 2012.