The share of the population with at least one poverty condition or unmet need in the Peruvian capital of Lima reached its lowest during 2017 with *** percent. In 2023, the share of residents of the metropolitan area was over **** percent.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Allen County, OH (S1701ACS039003) from 2012 to 2023 about Allen County, OH; Lima; OH; poverty; percent; 5-year; population; and USA.

There has been an overall increase in the number of people living within the city limits of Lima throughout the time frame displayed. The population in the Peruvian capital growth has been steady since 2020, surpassing the 10 million inhabitants during 2022 and leading to reach its highest peak in 2024 with 10.29 million people. The metropolitan area of Lima also ranked as one of the most populous in Latin America. A crucial part of Peru's economic output The total GDP of Lima reached around 246 billion Peruvian soles, which represents almost half of the total economic output of the country. The industry that contributed the most to Lima's GDP was by far services; nonetheless, the importance of manufacturing makes it the second-largest contributor. Other sectors that are important for the nation, like mining and some agricultural activities, stayed at the bottom part of the list.

Unemployment and poverty The unemployment rate of the Peruvian capital exceeded the 7.5 percent mark during March 2024. While the figure appears as quite an improvement over 2020 and 2021 data, when it reached over 16 percent, it still hasn't fully recovered to the figures before the COVID-19 pandemic. Likewise, the poverty rate presented a growing trend from 2017 to 2023, reaching 9.5 percent of Lima's residents living under the poverty line.

Graph and download economic data for Estimate of People of All Ages in Poverty in Allen County, OH (PEAAOH39003A647NCEN) from 1989 to 2023 about Allen County, OH; Lima; OH; child; poverty; persons; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of People Age 0-17 in Poverty for Allen County, OH (PECILBU18OH39003A647NCEN) from 1989 to 2023 about Allen County, OH; Lima; under 18 years; OH; child; poverty; persons; and USA.

Indonesia Poverty Gap Index: West Sumatera: Lima Puluh Kota Regency data was reported at 1.090 % in 2018. This stayed constant from the previous number of 1.090 % for 2017. Indonesia Poverty Gap Index: West Sumatera: Lima Puluh Kota Regency data is updated yearly, averaging 1.130 % from Dec 2005 (Median) to 2018, with 14 observations. The data reached an all-time high of 2.630 % in 2006 and a record low of 0.820 % in 2014. Indonesia Poverty Gap Index: West Sumatera: Lima Puluh Kota Regency data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Socio and Demographic – Table ID.GAE007: Poverty Gap Index: by Regency.

Graph and download economic data for Poverty Universe, Age 5-17 related for Allen County, OH (PUA5T17ROH39003A647NCEN) from 1998 to 2023 about Allen County, OH; Lima; OH; child; poverty; and USA.

Graph and download economic data for Estimate of People Age 0-17 in Poverty in Allen County, OH (PEU18OH39003A647NCEN) from 1989 to 2023 about Allen County, OH; Lima; under 18 years; OH; child; poverty; persons; and USA.

OBJECTIVE The objective of this study was to investigate the association between food assistance program participation and overweight/obesity according to poverty level. METHODS A cross-sectional analysis of data from 46,217 non-pregnant and non-lactating women in Lima, Peru was conducted; these data were obtained from nationally representative surveys from the years 2003, 2004, 2006, and 2008-2010. The dependent variable was overweight/obesity, and the independent variable was food assistance program participation. Poisson regression was used to stratify the data by family socioeconomic level, area of residence (Lima versus the rest of the country; urban versus rural), and survey year (2003-2006 versus 2008-2010). The models were adjusted for age, education level, urbanization, and survey year. RESULTS Food assistance program participation was associated with an increased risk of overweight/obesity in women living in homes without poverty indicators [prevalence ratio (PR) = 1.29; 95% confidence interval (CI) 1.06;1.57]. When stratified by area of residence, similar associations were observed for women living in Lima and urban areas; no associations were found between food assistance program participation and overweight/obesity among women living outside of Lima or in rural areas, regardless of the poverty status. CONCLUSIONS Food assistance program participation was associated with overweight/obesity in non-poor women. Additional studies are required in countries facing both aspects of malnutrition.

Abstract

The World Bank Group is interested in gauging the views of clients and partners who are either involved in development in Peru or who observe activities related to social and economic development. The following survey will give the World Bank Group's team that works in Peru, greater insight into how the Bank's work is perceived. This is one tool the World Bank Group uses to assess the views of its stakeholders, and to develop more effective strategies that support development in Peru. A local independent firm was hired to oversee the logistics of this survey.

This survey was designed to achieve the following objectives: - Assist the World Bank Group in gaining a better understanding of how stakeholders in Peru perceive the Bank Group; - Obtain systematic feedback from stakeholders in Peru regarding: · Their views regarding the general environment in Peru; · Their overall attitudes toward the World Bank Group in Peru; · Overall impressions of the World Bank Group's effectiveness and results, knowledge work and activities, and communication and information sharing in Peru; · Perceptions of the World Bank Group's future role in Peru. - Use data to help inform Peru country team's strategy.

Geographic coverage

Metropolitan Lima Area, Outside of Metropolitan Lima Area

Analysis unit

Stakeholders in Peru

Universe

Stakeholders in Peru

Kind of data

Sample survey data [ssd]

Sampling procedure

In February-April 2014, 465 stakeholders of the World Bank Group in Peru were invited to provide their opinions on the WBG's work in the country by participating in a country opinion survey. Participants were drawn from the office of the President; the office of the Prime Minister; office of a minister; office of a parliamentarian; ministries, ministerial departments, or implementation agencies; consultants/contractors working on WBG-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials; bilateral and multilateral agencies; private sector organizations; private foundations; the financial sector/private banks; NGOs; community based organizations; the media; independent government institutions; trade unions; faith-based groups; academia/research institutes/think tanks; judiciary branch; and other organizations.

Mode of data collection

Other [oth]

Research instrument

The Questionnaire consists of following sections:

A. General Issues Facing Peru: Respondents were asked to indicate whether Peru is headed in the right direction, what they thought were the top three most important development priorities in the country, which areas would contribute most to reducing poverty and generating economic growth in Peru, and how "shared prosperity" would be best achieved.

B. Overall Attitudes toward the World Bank Group (WBG): Respondents were asked to rate their familiarity with the WBG and other regional development banks, their effectiveness in Peru, WBG staff preparedness to help Peru solve its development challenges, WBG's local presence, WBG's capacity building in Peru, their agreement with various statements regarding the WBG's work, and the extent to which the WBG is an effective development partner. Respondents were asked to indicate the WBG's greatest values and weaknesses, the most effective instruments in helping reduce poverty in Peru, in which sectoral areas the WBG should focus most of its resources (financial and knowledge services), and to what reasons respondents attributed failed or slow reform efforts. Respondents were also asked to respond to a few questions about capacity building and whether they believe the World Bank Group should have more or less local presence.

C. World Bank Group's Effectiveness and Results: Respondents were asked to rate the extent to which the WBG's work helps achieve development results in Peru, the extent to which the WBG meets Peru's needs for knowledge services and financial instruments, the importance for the WBG to be involved in thirty one development areas, and the WBG's level of effectiveness across these areas, such as education, public sector governance/reform, water and sanitation, and transport.

D. The World Bank Group's Knowledge Work and Activities: Respondents were asked to indicate how frequently they consult WBG's knowledge work and activities and to rate the effectiveness and quality of the WBG's knowledge work and activities, including how significant of a contribution it makes to development results and its technical quality. Respondents were also asked about the WBG reports, including which of them are the most useful, whether they raised substantive new information, and whether they provided them with useful information in terms of work they do.

E. Working with the World Bank Group: Respondents were asked to rate WBG's technical assistance/advisory work's contribution to solving development challenges and their level of agreement with a series of statements regarding working with the WBG, such as the WBG's "Safeguard Policy" requirements being reasonable, and disbursing funds promptly.

F. The Future Role of the World Bank Group in Peru: Respondents were asked to indicate what the WBG should do to make itself of greater value in Peru, and which services the Bank should offer more of in the country. They were asked whether WBG has moved to the right direction, and the future role international development cooperation should play in Peru.

G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the WBG, and their usage and evaluation of the WBG's websites. Respondents were also asked about their awareness of the WBG's Access to Information policy, were asked to rate WBG's responsiveness to information requests, value of its social media channels, and levels of easiness to find information they needed.

H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the WBG, their exposure to the WBG in Peru, which WBG agencies they work with, whether IFC and the Bank work well together, and their geographic location.

Response rate

A total of 197 stakeholders participated in the survey (42% response rate).

ObjectiveTo assess the prevalence of child development delay and to identify socioeconomic determinants.Study designWe conducted a population-based cross-sectional study of children 2 to 72 months of age residing in the state of Ceará, Brazil. In total, 3200 households were randomly selected for participation in the study and had child development assessed with the Ages and Stages Questionnaire (ASQ) version 3. Development delay was defined as a score of less than -2 standard deviations below the median of the Brazilian ASQ standard. We present population-level prevalence of delay in five development domains and assess socioeconomic determinants.ResultsA total of 3566 children completed the ASQ development assessment of which 9.2% (95% CI: 8.1–10.5) had at least one domain with development delay. The prevalence of delay increased with age in all domains and males were at higher risk for communication, gross motor and personal-social development delays as compared to females (p-values

This map shows that forest biomass is unevenly distributed the Peruvian territory. This heterogeneous distribution of resources is the result of geographical and climatic variability that characterizes this country. The forest ecosystem has the largest amount of forest biomass available, while the coastal area and the mountains in the south have limited supply of biomass. This uneven distribution is the result of the tropical humid climate of the jungle, the desert climate in the coast and the limited availability of water in the southern highlands. This distribution of forest biomass, its relationship with the weather, the population distribution in the country and poverty, deserve studies locally. It is noted that the southern highlands is the part with most poverty in the country and is known as the Andean trapeze. The region with the largest supply of biomass is Loreto 145 Mt per year, other regions such as Amazonas, Cusco and San Martin have about 10 Mt per year. While regions that have a limited supply of woody biomass are: Arequipa, Moquegua and Tacna 15 000 17 700 and 14 000 Mt per annum respectively. Source data: - Dirección General Forestal de Faura Silvestre (DGFF). 2009. Perú forestal en números, ano 2008. Ministerio de Agricultura-DGFF. Lima. - INRENA. 2005. Mapa Forestal del Perú 2000. (No public). - INEI, 2008. Perfil socioeconómico del Perú. 2da. Edición. Census Nacionales 2007. XI de población y VI de vivienda. Lima. This dataset is part of the result of the Bioenergy and Food Security (BEFS) analysis for Perú on land and agro-climatic suitability and availability for crops. All BEFS results have been reported in the FAO publication “Bioenergía y seguridad alimentaria - El análisis de BEFS para el Perú - Compendio técnico Vol I y II†and the final products made available in this catalogue.

Abstract The aim of the present study was to investigate the prevalence of excess weight and associated factors in women of reproductive age living in a low-income community. A cross-sectional study was conducted with a sample of 663 women 15 to 49 years of age residing in the neighborhood of Coelhos in the city of Recife, Brazil. Body mass index (BMI)-for-age was used to classify the nutritional status of the adolescents (15 to 19 years of age), adopting Z-score of ≥+1 for the definition of overweight. For the adults, BMI≥25.0 kg/m² was considered indicative of overweight. Socioeconomic, demographic and reproductive variables were analyzed as possible factors associated with overweight. The prevalence of excess weight was found in two thirds of the sample. The results of the Poisson multiple regression analysis showed a significantly higher prevalence of excess weight with the advance in age, among those with a younger menarche age, those who had three or more pregnancies, those living with their partner and those self-declared black or white. Multiparity was the only factor associated with excess weight that could be modified, which underscores the importance of prenatal and family planning services to its prevention and control.

Indonesia Poverty Severity Index: West Sumatera: Lima Puluh Kota Regency data was reported at 0.240 % in 2018. This records a decrease from the previous number of 0.310 % for 2017. Indonesia Poverty Severity Index: West Sumatera: Lima Puluh Kota Regency data is updated yearly, averaging 0.245 % from Dec 2005 (Median) to 2018, with 14 observations. The data reached an all-time high of 0.720 % in 2006 and a record low of 0.160 % in 2014. Indonesia Poverty Severity Index: West Sumatera: Lima Puluh Kota Regency data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Socio and Demographic – Table ID.GAE011: Poverty Severity Index: by Regency.

Abstract

The survey was conducted, in order to: 1. Estimate the energy and nutrient intake in a population aged 6-35 months. 2. Estimate the population with adequate consumption of energy and nutrients in the population aged 6-35 months. 3. Report the nutritional status indicators: anemia, chronic malnutrition and overweight/obesity, in the population under 36 months of age. 4. Report on the quality of water for human consumption in the homes of the study population, in the population under 36 months of age.

Geographic coverage

National coverage, both urban and rural areas.

Analysis unit

Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

For the sample selection, 14 strata were built combining areas (Metropolitan Lima and Callao, Urban and Rural Rest) and the district poverty quintile. In each stratum, a multiple of 4 clusters was selected by random sampling without replacement and with probability proportional to the total size of inhabitants. 79 of the 80 selected clusters were executed, each of approximately 50-100 households where eight teams worked for 13 weeks in the last quarter of 2015.

In order to reduce systematic errors, in each area they were randomly permuted to assign them to the teams and weeks. In each conglomerate, the random selection of the assigned day was prepared for each of the 10 children of the sample quota. Field teams performed a quick enumeration of the total number of eligible children. When the total was greater than 10, the first 10 were selected according to a pre-selected and different random sequence for each cluster. When the total was less than 10, we worked with all of them and it was not necessary to look for replacements.

The sample size was estimated by stratified and multistage random sampling in three domains (Metropolitan, Urban and Rural Lima). The sampling frame consisted of information on population and housing from the 2007 National Censuses: XI on Population and VI on Housing, available at the National Institute of Statistics and Informatics (INEI).

Mode of data collection

Face-to-face paper [f2f]

Cumulative number of domains with developmental delay per child out of the five Ages and Stages Questionnaire domains (communication, gross motor, fine motor, problem-solving, and personal-social domains) overall and stratified by child sex.

The 10/66 Dementia Research Group INDEP study (The Economic and Social Effects of Care Dependence in Later Life) was funded by the ESRC/ DFID joint poverty alleviation programme. We planned to investigate the impact of care dependence upon social and economic functioning at the household level in China, Mexico, Peru and Nigeria (1). In a nested cohort study design, households were pre-selected as engaged in incident care, chronic care, or no care (control households) of older adults, on the basis of findings from our previous 10/66 DRG baseline and incidence wave population-based surveys in rural and urban sites in Mexico, Peru and China (2;3). All care households and an equivalent number of randomly selected control households (batch matched for the age of the oldest qualifying resident) were invited for the INDEP follow-up. Design (sampling) and response weights are provided, to weight back to the overall composition of the population-based sample for the 10/66 incidence wave surveys in these sites.

This mixed methods project is nested within the baseline and incidence phases of the 10/66 Dementia Research Group population-based studies in Mexico, Peru, China and Nigeria.

The objective is to study whether, and if so how, the onset of care-dependence in an older household member leads to household impoverishment and vulnerability. Households with an older person who has developed needs for care (incident care households) will be compared with those with older residents with long-standing needs for care (chronic dependence) and no needs for care (control households). Detailed household interviews will be used to assess consumption, income and assets, including changes that might be attributable to the onset or intensification of care-dependence. Detailed case studies of selected households will be used to elucidate the pathways involved. An additional focus is intra-household effects and wider social dynamics: (1) How is the care burden for dependent older people distributed across household members and wider kinship networks? (2) What factors influence the distribution of the care burden inside and outside the household? (3) How are decisions about the allocation of care made and justified? (4) To what extent does this depend on the external policy environment, including the reach of social protection and health services?

Graph and download economic data for Estimated Percent of Related Children Age 5-17 in Families in Poverty for Allen County, OH (PP5T17OH39003A156NCEN) from 1989 to 2023 about Allen County, OH; Lima; 5 to 17 years; OH; family; child; poverty; percent; and USA.

Abstract The scope of this study was to investigate the prevalence of food insecurity in the context of COVID-19 and its association with the emergency aid income-transfer program and the collecting of food donations by the population in a situation of social vulnerability. A cross-sectional study was carried out with socially vulnerable families eight months after confirming the first case of COVID-19 in Brazil. A total of 903 families, living in 22 underprivileged communities of Maceió, in the state of Alagoas, were included. Sociodemographic characteristics were evaluated, and the Brazilian Food Insecurity Scale was applied. The association of food insecurity with the variables studied was performed using Poisson regression with robust variance estimation, considering α = 5%. Of the total sample, 71.1% were food insecure, a situation associated with receiving food donations (PR = 1.14; 95%CI: 1.02; 1.27) and being a beneficiary of emergency aid (PR =1.23; 95%CI: 1.01; 1.49). The results show that the population in a situation of social vulnerability was strongly affected by food insecurity. On the other hand, the population group in question benefited from actions implemented at the outset of the pandemic.

Prevalence of child development delay by domain stratified by socioeconomic factors.