The population rate of change of Guaynabo, PR was -1.79% in 2016.

Population

Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Demographics and Population Datasets Involving Guaynabo, PR

  • API

    2011 National Household Survey (NHS) - Occupation by Census Tracts, Dissemination Areas, Wards and Urban Service Areas

    data.strathcona.ca | Last Updated 2016-12-13T22:25:18.000Z

    The data shows labour force frequency distribution by National Occupational Classification (NOC) and North American Industry Classification System (NAICS) in four different boundary types. The data was provided by Statistics Canada but it has been sectioned and transposed. The fields come from NHS profile reports of Statistics Canada and some information may not be available for all the boundaries. The fields have been arranged in the same order as NHS profile reports. To see a more complete description of the fields click on this link: http://www12.statcan.gc.ca/nhs-enm/2011/dp-pd/prof/details/Page.cfm?Lang=E&Geo1=CSD&Code1=4811052&Data=Count&SearchText=Strathcona%20County&SearchType=Begins&SearchPR=01&A1=All&B1=All&GeoLevel=PR&GeoCode=10#tabs1

  • API

    2011 National Household Survey (NHS) - Income by Census Tracts, Dissemination Areas, Wards and Urban Service Areas

    data.strathcona.ca | Last Updated 2016-12-16T16:03:17.000Z

    The data shows income frequency distribution for individuals and households in four different boundary types. The data was provided by Statistics Canada but it has been sectioned and transposed. The fields come from NHS profile reports of Statistics Canada and some information may not be available for all the boundaries. The fields have been arranged in the same order as NHS profile reports. To see a more complete description of the fields click on this link: http://www12.statcan.gc.ca/nhs-enm/2011/dp-pd/prof/details/Page.cfm?Lang=E&Geo1=CSD&Code1=4811052&Data=Count&SearchText=Strathcona%20County&SearchType=Begins&SearchPR=01&A1=All&B1=All&GeoLevel=PR&GeoCode=10#tabs1 The field “Household income in 2010 of private households” in the Income of Households in 2010 section is not included in the data to avoid redundancy.

  • API

    Directorio Comprensivo de Escuelas Públicas, Puerto Rico 2018

    data.pr.gov | Last Updated 2018-08-24T13:17:05.000Z

    Este directorio contiene información a nivel de escuelas públicas en Puerto Rico. Además de las características básicas de la escuela como lo es por ejemplo, nombre de la escuela, código único, distrito, dirección, coordenadas geoespaciales, nivel, y grados, este directorio contiene datos sobre matrícula, aprovechamiento académico (resultados META-PR) y nivel de pobreza de sus estudiantes. Otro aspecto que presenta este directorio es información sobre los posibles cambios de la escuela luego de los procesos de consolidación. Actualizado el 13 de junio de 2018.

  • API

    Behavioral Risk Factor Data: Tobacco Use (2011 to present)

    chronicdata.cdc.gov | Last Updated 2018-07-31T11:35:05.000Z

    2011-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. BRFSS Survey Data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. The data for the STATE System were extracted from the annual BRFSS surveys from participating states. Tobacco topics included are cigarette smoking status, cigarette smoking prevalence by demographics, cigarette smoking frequency, and quit attempts. NOTE: these data are not to be compared with BRFSS data collected 2010 and prior, as the methodologies were changed. Please refer to the FAQs / Methodology sections for more details.

  • API

    City Council Election 2013

    data.cambridgema.gov | Last Updated 2016-05-24T19:43:12.000Z

    This dataset contains the original final vote tally from 2013 Cambridge City Council election. The City Council comprises nine members and is the Cambridge's lawmaking body. Proportional Representation (PR) is the method by which voters in Cambridge elect members of the City Council and School Committee. In a PR election you may vote for as many of the candidates listed on the ballot as you wish, but you must rank the candidates in order of preference. This ensures minority representation with majority control. The vote count begins with the sorting of ballots by the first preference shown on each valid ballot. That is the NUMBER 1 vote on each ballot. This is generally known as the "First Count". Any candidates who reach the necessary quota with Number 1 votes are declared elected. During the 2013 City Council Election, the quota was 1,775 votes. Any extra ballots they receive beyond the quota are redistributed to the candidates marked next in preference (the number 2 preference) on those excess ballots. The count continues with the elimination of those candidates receiving fewer than fifty votes in the first count. Their ballots are redistributed to the other candidates according to the next preference marked. After each distribution, the candidate now having the lowest number of votes is eliminated and his/her ballots redistributed to the next indicated preference (number 2,3,4 etc.) As candidates reach the quota through the addition of redistributed ballots to their totals, they are declared elected and no further ballots are transferred to them. This process continues until all candidates have been eliminated except the nine winners for City Council. To learn more, please visit: https://www.cambridgema.gov/election/programsandservices/cambridgemunicipalelections

  • API

    Registered Public Corporations Disclosures: Four Biennial Period Window

    data.ny.gov | Last Updated 2018-08-06T14:47:35.000Z

    Data provided by Public Corporation in their Biennial Registration and Bi-monthly filings submitted to NYS Joint Commission on Public Ethics.

  • API

    State Profiles: FY 2014 Public Libraries Survey (Data)

    data.imls.gov | Last Updated 2017-09-07T15:48:11.000Z

    Pull up a state's profile to find state-level totals on key data such as numbers of libraries and librarians, revenue and expenditures, and collection sizes.<br><br>These data include imputed values for libraries that did not submit information in the FY 2014 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing. <br><br>Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2014 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data

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    Database of Labor Markets and Social Security Information System (SIMS)

    mydata.iadb.org | Last Updated 2018-09-14T18:40:16.000Z

    The Database of Labor Markets and Social Security Information System (SIMS) is the most important source of information about jobs and pensions in Latin America and the Caribbean. It encompasses harmonized statistics of 23 countries in the region, assuring the comparability of the indicators among them and also over time. The dataset includes data since 1990 and it presents 72 main indicators, which can be broken down by age group, gender, zone, level of education and other. The SIMS contains information in 6 broad categories: population, employment, unemployment, income, social security and poverty. This database seeks to contribute to public policies design based on evidence to strengthen the development of the region. Also, visit the SIMS Website: https://sims.iadb.org

  • API

    Database of Political Institutions 2015

    mydata.iadb.org | Last Updated 2018-02-23T20:22:04.000Z

    The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database, which is now hosted at the IDB, expands its coverage to about 180 countries for 40 years, 1975–2015. Researchers at the World Bank Development Research Group first compiled the database in 2000 (see citation information below). It has become one of the most cited databases in comparative political economy and comparative political institutions. Almost 3000 studies have used this database so far as a source of institutional and political data in their empirical analysis. <br><br><b>Click here to access the data: https://mydata.iadb.org/idb/dataset/ngy5-9h9d/</b></br></br>

  • API

    Medicare Referring Provider DMEPOS PUF CY2013

    data.cms.gov | Last Updated 2017-10-31T15:20:02.000Z

    The 2013 Referring Durable Medical Equipment, Prosthetics, Orthotics and Supplies (DMEPOS) Public Use File (herein referred to as “Referring Provider DMEPOS PUF”) presents information on DMEPOS products and services provided to Medicare beneficiaries ordered by physicians and other healthcare professionals. The Referring Provider DMEPOS PUF contains data on utilization, payment (allowed amount and Medicare payment), and submitted charges organized by National Provider Identifier (NPI), Healthcare Common Procedure Coding System (HCPCS) code and supplier rental indicator. This PUF is based on information from CMS administrative claims data for Medicare beneficiaries enrolled in the fee-for-service program available from the CMS Chronic Condition Data Warehouse (www.ccwdata.org). The data in the Referring Provider DMEPOS PUF covers calendar year 2013 and contains final-action (i.e., all claim adjustments have been resolved) Part B non-institutional DMEPOS line items for the Medicare fee-for-service (FFS) population. While the Referring Provider DMEPOS PUF has a wealth of information on payment and utilization for Medicare DMEPOS services, the dataset has a number of limitations. Of particular importance is the fact that the data may not be representative of a physician’s entire practice as it only includes information on Medicare fee-for-service beneficiaries. In addition, the data are not intended to indicate the quality of care provided and are not risk-adjusted to account for differences in underlying severity of disease of patient populations. For additional limitations, please review the methodology document available below.