Peru Census Population: Urban: Lima: Metropolitan data was reported at 8,567,786.000 Person in 2017. This records an increase from the previous number of 7,595,925.000 Person for 2007. Peru Census Population: Urban: Lima: Metropolitan data is updated yearly, averaging 4,132,781.000 Person from Jun 1940 (Median) to 2017, with 7 observations. The data reached an all-time high of 8,567,786.000 Person in 2017 and a record low of 533,086.000 Person in 1940. Peru Census Population: Urban: Lima: Metropolitan 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 Census Population: Lima data was reported at 9,485,405.000 Person in 2017. This records an increase from the previous number of 8,445,211.000 Person for 2007. Peru Census Population: Lima data is updated yearly, averaging 4,745,877.000 Person from Jun 1940 (Median) to 2017, with 7 observations. The data reached an all-time high of 9,485,405.000 Person in 2017 and a record low of 828,298.000 Person in 1940. Peru Census Population: Lima 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.

Birds in the cities are usually one of the first ways people get in contact with nature. Birds are vertebrates that sometimes are very diverse in urban areas; monitoring them offers opportunities for education and scientific research. Capture and recapture of birds give important information on morphology and if it is done on a long-term basis with a census, on population dynamics. Here I present a dataset of birds that were counted by sight and also captured, banded and released with mist-nets through a monitoring program in an urban area of the city of Lima, Peru; from 1995 until 2010. It also includes records of re-sightings of banded individuals. The censuses were each week and the captures every month, most of the time. The study area had 0.5 Ha and was a private park that had exotic vegetation in different forms: pastures, shrubs, and trees. The data shows the bird censuses, captured individuals and banded individuals resighted. The presence of captured individuals is shown by band number (not all individuals and species were banded or measured), body condition and measurements. The body condition recorded were sex, molt and breeding status. The body measurements were weight, wing, tarsus, beak (total and exposed culmen) and tail. The sampling effort for the bird census was 296 days; half an hour per day. For the bird-banding was 4724.74 Hours-net, with a range of 4 to 107 Hours-net per month. The resighted individuals were 1438. I recorded 43 species in this park, the most common species sighted were Columbina cruziana, Zenaida meloda and Coereba flaveola. There were 1827 captures of 25 bird species, from 12 families, within the order Passeriformes, Columbiformes, Apodiformes, Psittaciformes, and Falconiformes. Individual records per species range between 1 to 395, the median was 16 individuals per species. Most of the birds that were captured were Coereba flaveola (21.6%), Passer domesticus (17.4%) and Volatinia jacarina (12.1%). The longest life spans recorded during this project were individuals of Volatinia jacarina (10Y,7M), Pyrocephalus rubinus (10Y,4M) and Coereba flaveola (9Y,7M). I expect this database to be helpful for researchers in population ecology and bird morphology.

This research data aims to measure the level of Building Information Modeling (BIM) adoption in urban building projects in Lima city and Callao by the end of 2017. This level helped us to determine in what category of adopter Lima city, Peru most important city in terms of urban buildings, is located according to the Diffusion of Innovations theory (Rogers, 2003). Our hypothesis was that 15% of urban building projects adopted BIM by the end of 2017. The level of adoption is estimated through sampling principles and the population data (N=1218) can be found in the publication “Urban buildings market in Lima city and Callao 2017: edition 22” (CAPECO, 2017). The survey (docx file) is divided in five sections: general data of the interviewee, BIM perception, BIM acceptance, BIM adoption and general data of the project. The final data (xlsx file) provides the results of the survey that was answer by 323 professionals related to the building industry (Civil engineers, architects and others) and each answer corresponded to a unique project. As it was mentioned the population was based on all new urban building projects in the geographical area of study and under construction process during the period of data collection. A project was considered under construction process when it was found at the beginning of earthworks or preliminary works until the delivery of the unoccupied project. In addition, remodeling projects that involved expanding their built-up area were also considered, but this expansion had to be at least 500 sm. On the other hand, all single family houses and multi-family buildings that do not had a public construction license were excluded. The data collection was carried out by a research manager and two research assistants. Each research assistant was assigned a certain number of clusters within the designed sample. The sampling frame used in this research is one of an area type which are geographical surfaces well-defined. These surfaces are clusters and in this case were districts of Lima city and Callao. The data collection was taken from October to December of 2017. The method to reach the sample size (n=323) was through an emailed virtual survey (52 answers) and by visiting building projects site (271 answers). Projects visited were found aleatory, with the only requirement to be inside a designed sample cluster. It has been considered that a project has adopted BIM if it has used any of its applications: 3D models visualization; 3D modeling; material quantification and budgets made from 3D models; structure, MEP or HVAC model coordination; 4D construction simulation; control of construction progress with BIM; procurement of precast components; or the generation of 2D drawings from 3D models. The main notable finding is that the BIM adoption level in urban building projects in Lima city and Callao in 2017 was 21.6% (70/323), which places this analyzed region in the category of “early majority” adopters (Rogers, 2003).

Health data of residents Lima Peru

Characteristics of the population.

Background: Human Metapneumovirus (hMPV) is a negative single-stranded RNA virus. Infection by hMPV mainly affects the pediatric population and can cause upper or lower respiratory tract pathologies which can develop life threating complications. This study was carried out between 2009 and 2010 in a high complexity national hospital in Lima, Peru. The time frame corresponds to the pandemic of influenza A H1N1. Methods: RT-PCR was utilized to attain the amplification and identification of the virus.Results: A total of 539 samples were analized from patients with a clinical context suggestive of an acute respiratory tract infection. Of these samples 73 (13.54%) were positive for hMPV. Out of the positive cases, 63% were under 1 year old, and increased to nearly 80% when considering children younger than 2 years old. Cough was the most frequent symptom presented by our population with a number of 62 cases (84.93%). Viral seasonality was also established, noting its predominance during the months of summer in the southern hemisphere.Conclusions: The infection by hMPV has an important prevalence in Peru. It mainly affects children under 1 year old and can cause both upper and lower respiratory tract infections that can develop into potential life threating complications.

La popolazione totale in Perù è stata stimata a 33,7 milioni di persone nel 2023, secondo le ultime cifre del censimento e le proiezioni di Trading Economics. Valori correnti, dati storici, previsioni, statistiche, grafici e calendario economico - Perù - Popolazione.

Peru Census Population: Lima: Departament data was reported at 910,431.000 Person in 2017. This records an increase from the previous number of 839,469.000 Person for 2007. Peru Census Population: Lima: Departament data is updated yearly, averaging 581,280.000 Person from Jun 1940 (Median) to 2017, with 7 observations. The data reached an all-time high of 910,431.000 Person in 2017 and a record low of 265,413.000 Person in 1940. Peru Census Population: Lima: Departament 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 Census Population: Rural: Lima data was reported at 160,609.000 Person in 2017. This records a decrease from the previous number of 229,068.000 Person for 2007. Peru Census Population: Rural: Lima data is updated yearly, averaging 207,488.000 Person from Jun 1940 (Median) to 2017, with 7 observations. The data reached an all-time high of 278,774.000 Person in 1961 and a record low of 160,609.000 Person in 2017. Peru Census Population: Rural: Lima 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 Census Population: Urban: Lima: Departament data was reported at 757,010.000 Person in 2017. This records an increase from the previous number of 620,218.000 Person for 2007. Peru Census Population: Urban: Lima: Departament data is updated yearly, averaging 410,130.000 Person from Jun 1940 (Median) to 2017, with 7 observations. The data reached an all-time high of 757,010.000 Person in 2017 and a record low of 97,087.000 Person in 1940. Peru Census Population: Urban: Lima: Departament 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.

ObjectivesThe migrant community of the Shipibo-Konibo indigenous people in Lima, Peru were extremely vulnerable during the COVID-19 pandemic. Additionally, infection with human T-cell lymphotropic virus type 1 and 2 (HTLV-1/2) is endemic in this population causing immunosuppression. The aim of the study was to describe the association between HTLV-1/2 infection and the clinical severity of COVID-19.MethodsThis was a cross-sectional descriptive study involving a survey of adult Shipibo-Konibo indigenous migrants residing in Cantagallo-Rímac who were identified as suspected or confirmed cases of COVID-19. Blood samples were collected for SARS-CoV-2 antibody and HTLV-1/2 ELISA testing. A confirmatory Western Blot test was performed for those with a positive ELISA test.ResultsA total of 182 individuals were surveyed and sampled. No significant association was found between HTLV-1/2 infection and the clinical severity of COVID-19. The prevalence of HTLV-1/2 was 8.8% (95%CI: 5.0–14.1) with Western Blot. Age was the only statistically significant risk factor for developing a more severe form of COVID-19 (OR: 1.03; 95%CI: 1.00–1.06; p = 0.032).ConclusionsThere was no association found between HTLV-1/2 infection and the clinical severity of COVID-19. The prevalence of HTLV-1/2 infection in the Shipibo-Konibo population is high and warrants continuous monitoring in the advent of other infectious disease outbreaks and the development of HTLV-associated comorbidities.