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This is an update of a prior dataset publication containing baseline and 5-year follow-up data from the PERU MIGRANT Study (PEru's Rural to Urban MIGRANTs Study).The PERU MIGRANT Study was designed to investigate the magnitude of differences between rural-to-urban migrant and non-migrant groups in specific cardiovascular risk factors. Three groups were selected: i) Rural, people who have always have lived in a rural environment; ii) Rural-urban, people who migrated from rural to urban areas; and, iii) Urban, people who have always lived in a urban environment.PERU MIGRANT Study protocol, instruments and variables are described in full in:Miranda JJ, Gilman RH, García HH, Smeeth L. The effect on cardiovascular risk factors of migration from rural to urban areas in Peru: PERU MIGRANT Study. BMC Cardiovasc Disord 2009;9:23. PERU MIGRANT Study baseline dataset is available at:https://figshare.com/articles/PERU_MIGRANT_Study_Baseline_dataset/3125005Main findings of the baseline study:Miranda JJ, Gilman RH, Smeeth L. Differences in cardiovascular risk factors in rural, urban and rural-to-urban migrants in Peru. Heart 2011;97(10):787-96. Main findings of the 5-yr follow-up study: Carrillo-Larco RM, Bernabé-Ortiz A, Pillay TD, Gilman RH, Sanchez JF, Poterico JA, Quispe R, Smeeth L, Miranda JJ. Obesity risk in rural, urban and rural-to-urban migrants: prospective results of the PERU MIGRANT study. Int J Obes (Lond) 2016;40(1):181-5. Bernabe-Ortiz A, Sanchez JF, Carrillo-Larco RM, Gilman RH, Poterico JA, Quispe R, Smeeth L, Miranda JJ. Rural-to-urban migration and risk of hypertension: longitudinal results of the PERU MIGRANT study. J Hum Hypertens 2017;31(1):22-28. Lazo-Porras M, Bernabe-Ortiz A, Málaga G, Gilman RH, Acuña-Villaorduña A, Cardenas-Montero D, Smeeth L, Miranda JJ. Low HDL cholesterol as a cardiovascular risk factor in rural, urban, and rural-urban migrants: PERU MIGRANT cohort study. Atherosclerosis 2016;246:36-43.Burroughs Pena MS, Bernabé-Ortiz A, Carrillo-Larco RM, Sánchez JF, Quispe R, Pillay TD, Málaga G, Gilman RH, Smeeth L, Miranda JJ. Migration, urbanisation and mortality: 5-year longitudinal analysis of the PERU MIGRANT study. J Epidemiol Community Health 2015;69(7):715-8.
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Gold Reserves in Peru remained unchanged at 34.67 Tonnes in the fourth quarter of 2024 from 34.67 Tonnes in the third quarter of 2024. This dataset provides the latest reported value for - Peru Gold Reserves - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Graph and download economic data for World Uncertainty Index for Peru (WUIPER) from Q1 1954 to Q2 2025 about Peru, uncertainty, World, and indexes.
This statistic displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. For this statistic, respondents were asked about attributes they associate with products made in Peru. 18 percent of respondents stated they associate "very good value for money" with products from Peru.
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Key information about Peru Unemployment Rate
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
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OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
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Employment Rate in Peru increased to 93.90 percent in July from 93.60 percent in June of 2025. This dataset provides - Peru Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Key information about Peru Non Performing Loans Ratio
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Peru: Human Development Index (0 - 1): The latest value from 2023 is 0.794 points, an increase from 0.762 points in 2022. In comparison, the world average is 0.744 points, based on data from 185 countries. Historically, the average for Peru from 1980 to 2023 is 0.701 points. The minimum value, 0.595 points, was reached in 1980 while the maximum of 0.794 points was recorded in 2023.
The number of Twitter users in Peru was forecast to increase between 2024 and 2028 by in total *** million users (+** percent). This overall increase does not happen continuously, notably not in 2028. The Twitter user base is estimated to amount to **** million users in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Twitter users in countries like Bolivia and Ecuador.
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Mortgage credit, billion currency units in Peru, June, 2025 The most recent value is 72.59 billion Peruvian New Sol as of June 2025, an increase compared to the previous value of 72.1 billion Peruvian New Sol. Historically, the average for Peru from January 2001 to June 2025 is 30.44 billion Peruvian New Sol. The minimum of 3.15 billion Peruvian New Sol was recorded in February 2001, while the maximum of 72.59 billion Peruvian New Sol was reached in June 2025. | TheGlobalEconomy.com
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Peru: Income from natural resources, percent of GDP: The latest value from 2021 is 12.72 percent, an increase from 3.98 percent in 2020. In comparison, the world average is 6.83 percent, based on data from 186 countries. Historically, the average for Peru from 1970 to 2021 is 6.61 percent. The minimum value, 1.33 percent, was reached in 1998 while the maximum of 15.55 percent was recorded in 1980.
The statistic shows gross domestic product (GDP) in Peru from 1987 to 2024, with projections up until 2030. Gross domestic product (GDP) denotes the aggregate value of all services and goods produced within a country in any given year. GDP is an important indicator of a country's economic power. In 2024, Peru's gross domestic product amounted to around 289.07 billion U.S. dollars. Dropping mineral prices affect Peru's economy The economy of Peru is still strong and the prospect of significant future growth still remains, but overall GDP appears to be waning after a period of significant growth which took place between 2010 and 2013. The annual growth rate of Peruvian GDP was as high as 8.45 percent in 2010. Yet, the annual growth rate for 2014 was only a quarter of that, and future growth rates are expected to linger at around 4 percent. Much of this earlier growth can be attributed to the country’s mineral wealth in copper, silver, lead, zinc, oil and gold, but over the years, the price of many of these minerals has been on a decline. The price of many of these mineral resources began to decline in 2011, some decreasing significantly in price and others less so. The copper price has decreased, as has the price of lead and gold. The price of silver dropped significantly, too, and the impact of falling oil prices is being felt around the world. Zinc is the only aforementioned mineral whose price has remained stable. As the economy of Peru is directly linked to these resources and industry composes close to a 40 percent share of GDP, it is no wonder the economy of Peru has been impacted.
The number of smartphone users in Peru was forecast to continuously increase between 2024 and 2029 by in total 12 million users (+54.3 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 34.12 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).
The revenue in the media market in Peru was forecast to continuously increase between 2025 and 2030 by in total *** billion U.S. dollars (+***** percent). After the ***** consecutive increasing year, the revenue is estimated to reach **** billion U.S. dollars and therefore a new peak in 2030. Notably, the revenue of the media market was continuously increasing over the past years.Find more key insights for the revenue in countries like El Salvador, Guatemala, and Belize.. The Statista Market Insights cover a broad range of additional markets.
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Peru: Foreign aid and official development assistance received: The latest value from 2022 is 829.35 million U.S. dollars, an increase from 303.67 million U.S. dollars in 2021. In comparison, the world average is 1147.12 million U.S. dollars, based on data from 130 countries. Historically, the average for Peru from 1960 to 2022 is 272.06 million U.S. dollars. The minimum value, -298.89 million U.S. dollars, was reached in 2010 while the maximum of 829.35 million U.S. dollars was recorded in 2022.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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## Overview
Policias Peru is a dataset for object detection tasks - it contains Police annotations for 331 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
The revenue in the apparel market in Peru was modeled to be ************ U.S. dollars in 2024. Between 2018 and 2024, the revenue rose by *********** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The revenue will steadily rise by *********** U.S. dollars over the period from 2024 to 2029, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Apparel.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Peru: Terms of trade, base year = 2000: The latest value from 2021 is 127.99 percent, an increase from 114.56 percent in 2020. In comparison, the world average is 109.62 percent, based on data from 189 countries. Historically, the average for Peru from 1980 to 2021 is 93.35 percent. The minimum value, 60.86 percent, was reached in 2001 while the maximum of 150.27 percent was recorded in 1980.
The revenue in the data center market in Peru was forecast to continuously increase between 2024 and 2029 by in total *** million U.S. dollars (****** percent). After the fifth consecutive increasing year, the indicator is estimated to reach *** billion U.S. dollars and therefore a new peak in 2029. Find more key insights for the revenue in countries like Suriname, Panama, and Ecuador.. The Statista Market Insights cover a broad range of additional markets.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is an update of a prior dataset publication containing baseline and 5-year follow-up data from the PERU MIGRANT Study (PEru's Rural to Urban MIGRANTs Study).The PERU MIGRANT Study was designed to investigate the magnitude of differences between rural-to-urban migrant and non-migrant groups in specific cardiovascular risk factors. Three groups were selected: i) Rural, people who have always have lived in a rural environment; ii) Rural-urban, people who migrated from rural to urban areas; and, iii) Urban, people who have always lived in a urban environment.PERU MIGRANT Study protocol, instruments and variables are described in full in:Miranda JJ, Gilman RH, García HH, Smeeth L. The effect on cardiovascular risk factors of migration from rural to urban areas in Peru: PERU MIGRANT Study. BMC Cardiovasc Disord 2009;9:23. PERU MIGRANT Study baseline dataset is available at:https://figshare.com/articles/PERU_MIGRANT_Study_Baseline_dataset/3125005Main findings of the baseline study:Miranda JJ, Gilman RH, Smeeth L. Differences in cardiovascular risk factors in rural, urban and rural-to-urban migrants in Peru. Heart 2011;97(10):787-96. Main findings of the 5-yr follow-up study: Carrillo-Larco RM, Bernabé-Ortiz A, Pillay TD, Gilman RH, Sanchez JF, Poterico JA, Quispe R, Smeeth L, Miranda JJ. Obesity risk in rural, urban and rural-to-urban migrants: prospective results of the PERU MIGRANT study. Int J Obes (Lond) 2016;40(1):181-5. Bernabe-Ortiz A, Sanchez JF, Carrillo-Larco RM, Gilman RH, Poterico JA, Quispe R, Smeeth L, Miranda JJ. Rural-to-urban migration and risk of hypertension: longitudinal results of the PERU MIGRANT study. J Hum Hypertens 2017;31(1):22-28. Lazo-Porras M, Bernabe-Ortiz A, Málaga G, Gilman RH, Acuña-Villaorduña A, Cardenas-Montero D, Smeeth L, Miranda JJ. Low HDL cholesterol as a cardiovascular risk factor in rural, urban, and rural-urban migrants: PERU MIGRANT cohort study. Atherosclerosis 2016;246:36-43.Burroughs Pena MS, Bernabé-Ortiz A, Carrillo-Larco RM, Sánchez JF, Quispe R, Pillay TD, Málaga G, Gilman RH, Smeeth L, Miranda JJ. Migration, urbanisation and mortality: 5-year longitudinal analysis of the PERU MIGRANT study. J Epidemiol Community Health 2015;69(7):715-8.