The population count of Redding, CA was 91,320 in 2016. The population count of Orem, UT was 93,220 in 2016.

Population

Population Change

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

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

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Demographics and Population Datasets Involving Redding, CA or Orem, UT

  • API

    Provo- Orem, Utah MSA- Occupational Projections 2012-2022

    opendata.utah.gov | Last Updated 2015-01-05T14:07:24.000Z

    Provo- Orem, Utah MSA- Occupational Projections 2012-2022

  • API

    Utah Census Data Cities 2009-2013

    opendata.utah.gov | Last Updated 2016-01-25T17:41:41.000Z

    Data derived from Population Estimates, American Community Survey, Census of Population and Housing, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits

  • API

    Stormwater Violations

    greengov.data.ca.gov | Last Updated 2016-03-18T21:18:55.000Z

    Records of non-compliance with the statewide general permits for discharges associated with construction activity and with industrial activity.

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    Wastewater Enforcement Actions 1990s-Present

    greengov.data.ca.gov | Last Updated 2016-03-18T16:32:37.000Z

    This data set lists active and historical enforcement actions records that are stored in the California Integrated Water Quality System (CIWQS). Enforcement actions are generally issued in response to one or more instances of non-compliance (violations) of a base regulatory measure. Enforcement actions can be monetary or non-monetary.

  • API

    Baseline Study of Food for Peace Title II Development Food Assistance Program in Niger-- Household Sanitation and Maternal Health

    data.usaid.gov | Last Updated 2018-11-13T05:02:48.000Z

    This dataset captures data about the mothers in the households surveyed as part of the Baseline Study of Food for Peace Title II Development Food Assistance Program in the Maradi and Zinder regions in Niger as well as the water and sanitation resources available to the household. It has 200 columns and 7,337 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Niger. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later.

  • API

    Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Maternal Health and Household Sanitation

    data.usaid.gov | Last Updated 2018-11-13T05:02:49.000Z

    This dataset captures data about the mothers in the households surveyed as part of the Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda as well as the water and sanitation resources available to the household. This dataset contains data from Modules F and J of the questionnaire and has 295 columns and 4,766 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Uganda. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later. The data asset is comprised of six datasets: 1) a description of all members of the households surveyed, 2) data on maternal health and sanitation practices, 3) data about the children in the household, 4) data describing the agricultural practices of the household, 5) data describing the food consumption of the household (broken into 4 smaller spreadsheets), and 6) and a description of the weights that should be applied during the analysis of the other datasets.

  • API

    Permits and Orders covering wastewater discharges 1950-2016

    greengov.data.ca.gov | Last Updated 2016-04-09T00:40:31.000Z

    This dataset includes active and historical non-enforcement regulatory measures for wastewater programs issued by the State and Regional Boards. A regulatory measures is any action that the Board or Board staff may take, such as adopting a permit or issuing a Notice of Applicability for coverage under a general order.

  • API

    Data on food consumption in Zinder and Maradi in Niger: Section 6

    data.usaid.gov | Last Updated 2018-11-13T05:02:48.000Z

    In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the sixth spreadsheet of tenin the Data on food consumption in Zinder and Maradi in Niger.