Historical dataset of population level and growth rate for the San Pedro, Philippines metro area from 1950 to 2026.

Historical dataset of population level and growth rate for the San Pedro Sula, Honduras metro area from 1950 to 2026.

Comprehensive demographic dataset for San Pedro Valley Park, Pacifica, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Population, economics, health, and hospital data for San Pedro, CA. Sources: U.S. Census Bureau ACS, CDC PLACES, CMS Hospital Compare, NOAA, BEA, NCES.

Comprehensive demographic dataset for South San Pedro, Albuquerque, NM, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

INE Projection: Population: Biobio: San Pedro de la Paz data was reported at 164.457 Person th in 2035. This records an increase from the previous number of 163.972 Person th for 2034. INE Projection: Population: Biobio: San Pedro de la Paz data is updated yearly, averaging 140.877 Person th from Jun 2002 (Median) to 2035, with 34 observations. The data reached an all-time high of 164.457 Person th in 2035 and a record low of 83.721 Person th in 2002. INE Projection: Population: Biobio: San Pedro de la Paz data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.G: Population: Projection.

INE Projection: Population: Antofagasta: San Pedro de Atacama data was reported at 11.694 Person th in 2035. This records an increase from the previous number of 11.659 Person th for 2034. INE Projection: Population: Antofagasta: San Pedro de Atacama data is updated yearly, averaging 9.581 Person th from Jun 2002 (Median) to 2035, with 34 observations. The data reached an all-time high of 11.694 Person th in 2035 and a record low of 4.237 Person th in 2002. INE Projection: Population: Antofagasta: San Pedro de Atacama data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.G: Population: Projection.

Incidence rate ratios (IRR) and odds ratios (OR) with 95% confidence intervals are shown. Intervention efficacy ([1- OR or 1-IRR] x100) is shown.

Comprehensive demographic dataset for Don Pedro Beach, Placida, FL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Understanding the biotic consequences of Pleistocene range shifts and fragmentation remains a fundamental goal in historical biogeography and evolutionary biology. Here, we combine species distribution models (SDM) from the present and two late Quaternary time periods with multilocus genetic data (mitochondrial DNA and microsatellites) to evaluate the effect of climate-induced habitat shifts on population genetic structure in the Large-blotched Ensatina (Ensatina eschscholtzii klauberi), a plethodontid salamander endemic to middle and high-elevation conifer forest in the Transverse and Peninsular Ranges of southern California and northern Baja California. A composite SDM representing the range through time predicts two disjunct refugia, one in southern California encompassing the core of the species range and the other in the Sierra San Pedro Mártir of northern Baja California at the southern limit of the species range. Based on our spatial model, we would expect a pattern of high connectivity among populations within the northern refugium and, conversely, a pattern of isolation due to long-term persistence of the Sierra San Pedro Mártir population. Our genetic results are consistent with these predictions based on the hypothetical refugia in that (i) historical measures of population connectivity among stable areas are correlated with gene flow estimates; and (ii) there is strong geographical structure between separate refugia. These results provide evidence for the role of recent climatic change in shaping patterns of population persistence and connectivity within the Transverse and Peninsular Ranges, an evolutionary hotspot.

Comprehensive demographic dataset for Pedro Point, Pacifica, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Dormant life stages are often critical for population viability in stochastic environments, but accurate field data characterizing them are difficult to collect. Such limitations may translate into uncertainties in demographic parameters describing these stages, which then may propagate errors in the examination of population-level responses to environmental variation. Expanding on current methods, we 1) apply data-driven approaches to estimate parameter uncertainty in vital rates of dormant life stages and 2) test whether such estimates provide more robust inferences about population dynamics. We built integral projection models (IPMs) for a fire-adapted, carnivorous plant species using a Bayesian framework to estimate uncertainty in parameters of three vital rates of dormant seeds – seed-bank ingression, stasis and egression. We used stochastic population projections and elasticity analyses to quantify the relative sensitivity of the stochastic population growth rate (log λs) to changes in these vital rates at different fire return intervals. We then ran stochastic projections of log λs for 1000 posterior samples of the three seed-bank vital rates and assessed how strongly their parameter uncertainty propagated into uncertainty in estimates of log λs and the probability of quasi-extinction, Pq(t). Elasticity analyses indicated that changes in seed-bank stasis and egression had large effects on log λs across fire return intervals. In turn, uncertainty in the estimates of these two vital rates explained > 50% of the variation in log λs estimates at several fire-return intervals. Inferences about population viability became less certain as the time between fires widened, with estimates of Pq(t) potentially > 20% higher when considering parameter uncertainty. Our results suggest that, for species with dormant stages, where data is often limited, failing to account for parameter uncertainty in population models may result in incorrect interpretations of population viability.

Comprehensive demographic dataset for Colony Don Pedro, Placida, FL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Abstract

The documentation covers Enterprise Survey panel datasets that were collected in Honduras in 2003, 2006, 2010 and 2016. The Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of business environment topics including access to finance, corruption, infrastructure, crime, competition, and performance measures. The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector.

As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The samples for 2003, 2006, 2010 and 2016 Honduras Enterprise Surveys were selected using stratified random sampling, following the methodology explained in the Sampling Note.

Three levels of stratification were used in Honduras ES: industry, establishment size, and region.

In 2006 ES, the population was stratified into 3 manufacturing industries, one services industry - retail-, and one residual sector as defined in the sampling manual. Each industry had a target of 120 interviews.

In 2010 ES, industry stratification was designed in the way that follows: the universe was stratified into 1 manufacturing industry, 1 service industry -retail -, and 1 residual sector as defined in the sampling manual. The manufacturing industry, service industry, and residual sectors had a target each of 120 interviews. Regional stratification was defined in three locations (city and the surrounding business area): Tegucigalpa, San Pedro Sula, and the Rest of the Country.

In 2016 ES, industry stratification was designed as follows: the universe was stratified into Manufacturing industries (ISIC Rev. 3.1 codes 15- 37), Retail industries (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72). Regional stratification was done across three regions: Tegucigalpa, San Pedro Sula and Rest of the Country.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two questionnaires - Manufacturing amd Services were used to collect the survey data.

The Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).

Abstract

The objectives of the survey included the following: 1. Estimate current levels of fertility. 2. Estimate levels of neonatal, infant and child mortality. 3. Determine the prevalence, pattern and mean duration of breastfeeding. 4. Determine the prevalence and severity of diarrhea and acute respiratory infections among children under age five, the percentage that received treatment, and the type of treatment received. 5. Determine the percentage of children under five that have been immunized against various childhood diseases. 6. Determine the sources of prenatal, delivery and postpartum care and for women delivering at home, the care provided by traditional birth attendants. 7. Determine contraceptive prevalence by method and by source. 8. Identify reasons for terminating the use of family planning and for not using contraception: determine the extent of unmet need for contraception. 9. Determine the percentage of women who have experienced unplanned pregnancies, the pregnancy intentions of all women, ideal family size and the percentage of women who want more children. 10. Determine what advice is given and the impact of this advice on the decision to discontinue pill use among women with problems related to oral contraception. 11. Explore characteristics of adolescents and young women 20-24 as they relate to first intercourse and patterns of family building. 12. Determine levels of knowledge concerning STDs and AIDS.

Geographic coverage

National, except two departments which were excluded from the sample, Gracias a Dios and the Bay Islands, due to difficult access and their small and scattered population. Together they make up only 1.5 percent of the total population of Honduras.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 1987 National Epidemiology and Family Health Survey (EFHS) employed a multistage probability sample of over 11,000 households. Two departments were excluded from the sample, Gracias a Dios and the Bay Islands, due to difficult access and their small and scattered population. Together they make up only 1.5 percent of the total population of Honduras.

To carry out such a survey, adequate maps must be available to construct small area units to serve as sampling units in the later stages of selection. However, for the 1987 survey, current maps were not readily available for all parts of the country. At the time of sample preparation, the Honduran Bureau of Census and Statistics was updating maps for the 1988 Census and had updated maps of municipios (counties) representing a little less than half of the country's population. Included in the updated maps were those of 16 major cities. These cities had been selected for their importance in terms of employment by the Bureau of Census and Statistics which in September of 1986 carried out the Encuesta de Hogares (Labor Force Survey) to determine employment patterns of the labor force. Thus for the 1987 survey, two groups of recently updated maps were available: urban maps of 16 cities divided into colonias (neighborhoods) which were divided into sectors for the Encuesta de Hogares, and census maps of rural municipios divided into aldeas (villages) which Ministry of Health and Management Sciences for Health staff subsequently divided into sectors.

In the remainder of the country where Census personnel had not updated maps, the 1974 Census sector maps were used for the first stage of selection. Once these area units were selected, teams composed of survey staff and cartographers from the Vector Control Division of the Ministry of Public Health visited the sites and updated the maps.

The partial availability of current maps led to the designation of the following four cells (see Table II B1 of the Final Report) which served as the first level of stratification in the primary sample.

This four cell partitioning of the primary sample is not equivalent to stratification using the official definition of urbanization since Cells 2, 3 and 4 in Table II B1 contained both urban and rural areas. However, it is important to note that this feature of the design did not compromise our ability to produce estimates by official urban or rural designations.

Once the interview was completed and questionnaires were coded for data processing, all sectors were classified according to strata: 1) urban Tegucigalpa and urban San Pedro Sula, 2) other urban areas, and 3) rural areas. This classification of strata maintains the final strata designation used in the 1984 MCH/FP Survey. Urban was defined according to criteria used by the Bureau of Census and Statistics: population greater than 2000 inhabitants with public utilities, water and sewage. Since population estimates are based on 1974 census information, rural areas with less than but close to 2000 inhabitants were assumed to have grown and were reclassified as urban.

The 1986 population of Honduras based on estimates from the Latin American Center for Demography (CELADE) and the Secretary for Planning and Finances (SECPLAN) was about 4.2 million inhabitants. With about 5.5 persons per household, this corresponds to 763,636 households. Thus the overall sampling rate in selecting 11,660 households was 0.0153, or about one out of every 65 households. Our aim was to select a sample in which the sample and Census distributions by cell were approximately equal.

In January of 1987 the Ministry of Public Health implemented the National Nutrition Survey which used the sampling frame originally designed for the 1987 Epidemiology and Family Health Survey. Cell 1 of the Nutrition Survey was a subsample of the Encuesta de Hogares.

We selected 550 primary sampling units (PSUs) for the EFHS, 275 of which had been chosen earlier for the Nutrition Survey. However, new segments or secondary sampling units (SSUs) were selected for the EFHS in the previously used PSUs. An additional 275 PSUs were chosen independently from the four original stratified listings which correspond to the 4 design cells. To facilitate selection of the additional PSUs, we doubled the number of PSUs in each cell. To achieve the desired sample size for the EFHS, we increased the segment size used in the Nutrition Survey by 50 percent. The targeted number of households per segment varied.

Selection Protocol for each Cell

Cell 1

In preparation for the Encuesta de Hogares, cartography staff made a rapid enumeration of blocks and households in the 16 selected cities. Blocks were grouped in units that averaged 50 households. However, the units ranged from 25 to 125 households. These units were called PSUs and were listed and sorted hierarchically by health region, city, socioeconomic status, and population size or geographic proximity. Since probability proportional to size (PPS) systematic sampling was used ultimately to choose the PSU sample for each design cell, ordering according to the above variables implicitly stratified the sample. In the Encuesta de Hogares, the measure of size for PPS selection was the number of HHs. PSUs were selected with PPS. For the EFHS and Nutrition Surveys, a subsample of the Encuesta de Hogares sample was chosen. PSUs for these surveys were selected at random using equal probability.

Once the appropriate number of PSUs was selected, the SSUs or segments were delineated to contain approximately 15 households in Tegucigalpa and San Pedro Sula and about 8 households in the other 14 cities. Survey staff chose one segment at random and identified it on the map. In the field, the supervisor counted the number of households in the segment and when there were more than the predetermined cluster size, she chose at random a house with which to begin. Following a clockwise direction, interviewers visited households until the appropriate number was attained. An interview was attempted with all eligible respondents (women aged 15 to 44) in each household selected.

Cell 2

The updated (as of October 24, 1986) rural and urban maps not included in Cell 1, were used to define Cell 2. Municipios were divided into villages which were designated as the PSUs. PSU selection was done by PPS systematic sampling where the selection probability for each PSU was proportional to its size (total number of households) and an interval of fixed length was applied to the frame after a random start. The list of PSUs was ordered according to health region, department, municipio and geographical proximity which means a serpentine route was followed so that any two consecutive PSUs on the list were neighbors geographically. Once chosen, the PSU was divided into segments of about 33 households and one segment was chosen at random. All households in that chosen segment were contacted.

Cells 3 and 4

These cells used 1974 Census sector maps at the first stage of selection. The PSUs for urban areas were ordered according to health region, municipio, city and SES status when possible or geographic proximity. In rural areas, lists were sorted by health region, department, municipio and geographic proximity. PSUs were chosen separately in each cell by PPS systematic sampling and these "census sector maps" were updated for the EFHS and Nutrition Survey. The updated sectors averaged 70 households but ranged from 25 to 130 households. As in Cell 2, one segment of about 33 households was chosen at random for each PSU.

Summary of the sample for the 1987 Epidemiology and Family Health Survey

General description: Two stage area sample of households with stratification in the first stage and area segments of 8-33 households as the ultimate sampling unit. Expected number of selected households: 11,660 Overall household sampling rate: About 1 in 65 households Expected number of responding households: 9,736* Expected number of responding eligible women in selected households:

Characteristics of study population and Leptospira seroprevalence by microscopic agglutination test, Espaillat and San Pedro de Macoris Provinces, Dominican Republic, 2021.

2 mosaics of 3 map sheets and a set of 40 additional map sheets 1. Abidjan : industries : 1970 : planche C5b. Scale of 1:50 000 to 1:20 000. Date of publication: 1979. 2. Abidjan 1975 : administrations, services publics et para-publics : planche C6b. Scale of 1:30 000 to 1:10 000. Date of publication: 1979. 3. Abidjan 1976 : occupation de l'space urbain et peri-urbain : planche B4c. Scale of 1:83 333. Date of publication: 1979. 4. Aptitudes culturales et forestières des sols : planche A5b. Scale of 1:2 000 000. Date of publication: 1979. 5. Artisanat : planche C6a. Scale of 1:4 000 000. Date of publication: 1979. 6. Carte administrative : décembre 1976 : planche D1c. Scale of 1:2 000 000. Date of publication: 1979. 7. Commerce : Abidjan : planche D3a. Scale of 1:20 000. Date of publication: 1979. 8. Cultures industrielles : planche C1d. Scale of 1:4 000 000. Date of publication: 1979. 9. Cultures industrielles et marchandes : planche C1c. Scale of 1:4 000 000. Date of publication: 1979. 10. Cultures villageoises secondaires : planche C1b. Scale of 1:6 400 000 to 1:4 000 000. Date of publication: 1970. 11. Cultures vivrières de base : planche C1a. Scale of 1:6 400 000 to 1:4 000 000. Date of publication: 1969. 12. Déficits hydriques - durée de la saison sèche : planche A3c. Scale of 1:3 000 000. Date of publication: 1979. 13. Densité de la population rurale : planche B1a. Scale of 1:2 000 000. Date of publication: 1979. 14. Eléments généraux du climat : planche A3a. Scale of 1:2 000 000. Date of publication: 1979. 15. Elevage : planche C3. Scale of 1:6 400 000 to 1:4 000 000. Date of publication: 1979. 16. Energie : planche C5c. Scale of 1:6 400 000 to 1:3 000 000. Date of publication: 1979. 17. Enseignement : infrastructure scolaire 1967-68 : planche B3a. Scale of 1:6 400 000 to 1:2 000 000. Date of publication: 1979. 18. Entreprises minières et industrielles : 1967 : planche C5a. Scale of 1:2 000 000. Date of publication: 1979. 19. Géographie médicale : infrastructure sanitaire : janvier 1977 : planche B3b. Scale of 1:2 000 000. Date of publication: 1979. 20. Géologie : planche A2. Scale of 1:2 000 000. Date of publication: 1972. 21. Groupes culturels et ethniques : planche B2a. Scale of 1:2 000 000. Date of publication: 1979. 22. Hydrologie : planche A4. Scale of 1:6 400 000 to 1:2 000 000. Date of publication: 1979. 23. Infrastructure routière et des transports : 1972 : planche D2a. Scale of 1:6 400 000 to 1:2 000 000. Date of publication: 1979. 24. Les activités forestières 1974 : planche C4a. Scale of 1:6 400 000 to 1:200 000. Date of publication: 1975. 25. Les circonscriptions administratives : I. évolution 1893-1937 : planche D1a. Scale of 1:6 400 000 to 1:4 000 000. Date of publication: 1979. 26. Les circonscriptions administratives : II. évolution 1938-1975 : planche D1b. Scale of 1:6 400 000 to 1:4 000 000. Date of publication: 1979. 27. Les grandes opérations agricoles de développement : mai 1976 : planche C1. Scale of 1:2 000 000. Date of publication: 1979. 28. Les villes : le secteur tertiaire : planche D4b. Scale of 1:4 000 000. Date of publication: 1979. 29. Localisation de la population 1965 : planche B1 nord. Scale of 1:1 000 000. Date of publication: 1967. 30. Localisation de la population 1965 : planche B1 sud. Scale of 1:1 000 000. Date of publication: 1967. 31. Oro-hydrographie : planche A1. Scale of 1:2 000 000. Date of publication: 1979. 32. Paysages urbains : Bouaké 1973 : planche B4b1. Scale of 1:30 000. Date of publication: 1979. 33. Paysages urbains : Korhogo 1970, Man 1974, Mankono 1973, Gagnoa 1970, Agboville 1974, Guiglo 1970, Grand-Bassam 1974 : planche B4b2. Scale of 1:30 000. Date of publication: 1979. 34. Paysages urbains : Odienné 1974, Yamoussoukro 1973, San Pedro 1973, Bondoukou 1972 : planche B4b3. Scale of 1:30 000. Date of publication: 1979. 35. Pédologie : planche A5a. Scale of 1:2 000 000. Date of publication: 1979. 36. Peuplement rurale : l'habitat rural : forme, taille, semis : planche B4a. Scale of 1:4 000 000 to 1:2 500 000. Date of publication: 1979. 37. Population rurale - évolution 1955-1965 : planche B1b. Scale of 1:4 000 000. Date of publication: 1979. 38. Précipitations mensuelles : planche A3b. Scale of 1:6 400 000. Date of publication: 1979. 39. Principaux courants de transports : planche D2b. Scale of 1:6 400 000 to 1:4 000 000. Date of publication: 1979. 40. Sédimentologie : sédimentologie du plateau continental : Abidjan, Grand-Lahou, San Pedro : planche A2b. Scale of 1:350 000. Date of publication: 1972. 41. Tourisme : sites et infrastructures : août 1975 : planche C7. Scale of 1:2 000 000 to 1:100 000. Date of publication: 1979. 42. Trafic de marchandises : planche D2c. Scale of 1:6 400 000 to 1:4 000 000. Date of publication: 1979. 43. Végétation : planche A6a. Scale of 1:2 000 000. Date of publication: 1979.