To access this data:

This data is available for licensing to anyone interested in understanding risks around hazardous dams. To request access, click REQUEST ACCESS or email Ken Romano at kromano@ap.org.

Update 2/20/20 This data has been updated with the following: * The dams_in_nid_state_reports.csv file has been updated to include a column for owner_name, as it was provided by the states. Nearly 30,000 dam entries did not have an owner_name provided. Owner names may need deduplication, due to alternate name spellings in the data provided. * New findings regarding dams lacking emergency action plans in Southeastern states, in the Findings section.

Overview

The nation’s dams are on average more than a half-century old and, in some cases, weren’t designed to handle the amount of water that could result from the increasingly intense rainstorms of a changing climate. Yet almost no information has been publicly available about the condition of these dams. Since 2002, the U.S. Army Corps of Engineers has redacted inspectors’ condition assessments from its National Inventory of Dams over security concerns; the Corps makes publicly available only the hazard rating of certain dams, which assesses the potential for loss of human life or economic and environmental damage should a dam fail.

The Associated Press has created an exclusive dataset that fills in those information gaps for a subset of dams across the country. It found at least 1,688 high hazard dams that are in poor or unsatisfactory condition, and in places where failure is likely to kill at least one person.

The AP’s analysis is based on data obtained through dozens of state open-records requests, which allowed the AP to compile a dataset that contains both hazard levels and condition ratings for dams in 45 states and Puerto Rico. Five states – Alabama, Illinois, Maryland, New Jersey and Texas – did not fully comply with the records request for reasons described in the methodology and caveats sections below. (Iowa provided all requested documents but had no dams listed as both high hazard and in poor or unsatisfactory condition).

For the subset of high hazard dams in poor or unsatisfactory condition, the AP is sharing state inspection reports and local emergency action plans that provide additional details about the problems of some particular dams, their potential to inundate nearby areas if they were to catastrophically fail and plans to respond should there be a disaster.

The AP also analyzed the annual budget and staffing levels for dam safety offices in each state using data from an annual survey conducted by the U.S. Army Corps of Engineers.

Additionally, the AP obtained data from the Federal Emergency Management Agency and state dam safety offices about $10 million of federal grants that were awarded this fall to 26 states. The grants are the first under the new Rehabilitation of High Hazard Potential Dams Grant Program. The money is to go toward risk assessments and engineering designs to repair high hazard dams that have failed to meet safety standards and pose an unacceptable risk to the public.

Findings

The AP’s analysis found: * Update 2/20/20: As storms, floods, and dam breaches have hit Mississippi in recent weeks, emergency action plans have been important in denoting whom to contact, who and what has been in danger, and how to handle a dam emergency. An Associated Press analysis of data received in summer 2018 from state and federal agencies found that 111 of the 375 high hazard dams in Mississippi were missing emergency action plans – nearly 30 percent. Some other Southern states had even more dams lacking emergency plans. In North Carolina, 578 of the 1,277 of high hazard dams, nearly half of them, had no emergency plan. In Georgia, 259 of the 623 were missing emergency plans. In fact, in at least seven Southeastern states, at least 20 percent of the high hazard dams were missing emergency plans as of summer 2018. * There are at least 1,688 high hazard dams in poor or unsatisfactory condition in 44 states and Puerto Rico. These potentially dangerous dams account for about 19% of the more than 8,800 high hazard dams for which the AP obtained condition ratings. Iowa listed no high hazard dams as poor or unsatisfactory. * More than half of the dams in the AP’s list of high hazard facilities in poor or unsatisfactory condition are privately owned, which can create challenges for state regulatory agencies seeking to enforce needed repairs or improvements. * About half of the dams in the AP’s list of high hazard facilities in poor or unsatisfactory condition are used primarily for recreation, though that may not have been the purpose for which the dams originally were built. Nearly one-fifth of the dams are used primarily for flood control. * Georgia had 198 high hazard dams in poor or unsatisfactory condition, the highest number among all states for which the AP obtained data. North Carolina was second with 168 such dams, followed by Pennsylvania with 145, Mississippi with 132, Ohio with 124 and South Carolina with 109. * As of summer 2018, more than a quarter of the high hazard dams in poor or unsatisfactory condition had inspection reports that were more than 1.5 years out of date, and about 35% didn’t have emergency action plans documenting procedures in case of the dam’s failure. Note that some of those dams could have undergone inspections or adopted emergency plans since then. * Budget and staffing levels for state dam safety offices declined following the Great Recession and have generally risen since then. California, which has the nation’s largest dam safety program, boosted its budget from around $13 million in 2017 to $20 million this past year and increased its full-time staff positions from 63 to 77 following the failure of the Oroville dam spillway in 2017. * Thirteen states and Puerto Rico were spending less on dam safety programs in their 2019 fiscal years than they did in 2011, and 11 states had fewer full-time positions in their programs as of last year. Alabama is the only state with no dam safety program. * States often have small dam safety staffs to oversee large numbers of dams. Indiana is representative of many states, with a $500,000 budget and six full-time staff positions for a dam safety office that regulates 840 dams.

Localization ideas

The AP’s database of dam inspection records collected from state agencies can be filtered to find the high hazard dams in poor or unsatisfactory condition in your state.

That data also provides key details that can be used for further reporting about the facilities, including their names, exact locations, identification numbers, the year they were built and the dates of their most recent inspections and emergency action plans. For many of these dams, the AP also has provided documents detailing their most recent inspection reports and emergency plans. The datasets on state dam safety program budgets and personnel also can be used to examine how a state’s regulatory oversight has changed over time.

Use the entire dams dataset to map all the dams in your state, find out what share of dams in your state are high hazard and in poor or unsatisfactory condition, and to do further analysis on ownership and purpose.

Some questions to ask:

Are there nearby dams in poor condition that could cause widespread damage if they failed? * Emergency action plans include potential inundation zones if a high hazard dam were to fail. For example, one community potentially in harm’s way is Norwood, Massachusetts, a Boston suburb of nearly 30,000 people. The high hazard dam on nearby Willett Pond is rated in poor condition, primarily because its spillway is capable of handling only about 13% of the water flow from a serious flood, according to a recent inspection report. More than 1,300 properties with structures lie within the dam’s potential inundation zone, including several shopping centers, at least two elementary schools, more than 70 roads and two railroads.

Are there high hazard dams for which there are concerns about whether the structure could withstand a natural disaster? * One example of this is in Alaska, which has five high hazard dams in poor or unsatisfactory condition. Several inspections raised concerns about seismic activity. Inspection reports for the Lower and Upper Wrangell dams note that neither dam “is found to be stable during a seismic event.”

Are there dams with outdated or missing emergency action plans? * One example of this is in New Mexico, where many dams had no emergency action plans as of summer 2018. Many dams there also were rated poor because authorities had no design plans for them. In addition, inspection reports for the majority of the dams mentioned that the dams did not meet standards for a probable maximum precipitation event.

How have state officials responded to previous concerns about the safety of dams? * Following widespread dam failures during intense rainstorms in 2015-2016, South Carolina tripled the personnel in its dam safety program and increased its budget from about $260,000 annually to about $1 million. By contrast, Missouri took no action after a mountaintop reservoir failed in 2005, injuring a park superintendent’s family in the resulting flash flood. Though the governor proposed to significantly expand the number of dams subject to state inspections, the legislation failed to pass.

Interactive

The AP is making an interactive map made in partnership with ESRI for this dataset available early to aid in reporting.

The interactive displays the 1,688 dams in the dataset that are high hazard and in poor or unsatisfactory condition. Coloring is determined by how overdue its last inspection, as of July 2018, is from its expected inspection frequency. By clicking on individual dams, more detailed information from the AP dataset

American Rivers’ Dam Removal Database includes all dam removals in the United States (of which we have been made aware) in which a significant portion of the dam has been removed for the full height of the dam, such that ecological function, natural river flow and fish passage can be restored at the site. This database is revised and updated annually with information provided by contributors across the country. The database may be used by anyone provided that citation is given to American Rivers and the DOI link is included.

This map layer portrays major dams of the United States, including Puerto Rico and the U.S. Virgin Islands. The map layer was created by extracting dams 50 feet or more in height, or with a normal storage capacity of 5,000 acre-feet or more, or with a maximum storage capacity of 25,000 acre-feet or more, from the 79,777 dams in the U.S. Army Corps of Engineers National Inventory of Dams. This is a replacement for the April 1994 map layer.

Updated version 1.0.1:

We present version 1.0.1 to the DDSA database, the improvements made to version 1.0.0 are described below:

1. New hydrological information attributes have been included:
   1. Aridity index
   2. Residence time
   3. Degree of regulation.
2. A shapefile of watersheds for each dam has been included.
3. Supplementary table 1: Future Dams in South America has been included.

Recommended citation

Article citation will be added once the article is available.

Use of the dataset

Before using the dataset, please notify us (be.paredes@alumnos.upm.es; be.paredes@uta.edu.ec) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.

When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using this dataset.

Description

Dams and their reservoirs generate major impacts on society and the environment. In general, its relevance relies on facilitating the management of water resources for anthropogenic purposes. However, dams could also generate many potential adverse impacts related to safety, ecology or biodiversity. These factors, and the additional effects that climate change could cause in these infrastructures and their surrounding environment, highlight the importance of dams and the necessity for their continuous monitoring and study. There are several studies examining dams both at regional and global scale, however, those that include the South America region focus mainly on the most renowned basins (primarily the Amazon basin), most likely due to the lack of records on the rest of the basins of the region. For this reason, a consistent database of georeferenced dams located in South America is presented: Dataset of georeferenced dams in South America DDSA. It contains 1,010 entries of dams with a combined reservoir volume of 1,017 cubic kilometres and it is presented in form of a list describing a total of 24 attributes that include the dams name, characteristics, purposes and georeferenced location. Also, hydrological information on the dams’ catchments is also included: catchment area, mean precipitation, mean near-surface temperature, mean potential evapotranspiration, mean runoff, catchment population, catchment equipped area for irrigation, aridity index, residence time and degree of regulation. Information was obtained from public records, governments records, existing international databases and from extensive internet research. Each register was validated individually and geolocated using public access online map browsers and then, hydrological and additional information was derived from a hydrological model computed using the HydroSHEDS dataset. With this database, we expect to contribute to the development of new research in this region.

Content

The files included in the Dataset of georeferenced dams in South America DDSA are:

• 1. Dam Information
• 2.1. Dam Hydrological Information - Catchment Area
• 2.2. Dam Hydrological Information - Catchment Mean Monthly Near Surface Temperature
• 2.3. Dam Hydrological Information - Catchment Mean Monthly Precipitation
• 2.4. Dam Hydrological Information - Catchment Mean Monthly Potential Evapotranspiration
• 2.5. Dam Hydrological Information - Catchment Mean Monthly Runoff
• 2.6. Dam Hydrological Information - Catchment Population
• 2.7. Dam Hydrological Information - Catchment Eqquiped Area for Irrigation
• 2.8. Dam Hydrological Information - Aridity Index
• 2.9. Dam Hydrological Information - Residence Time
• 2.10. Dam Hydrological Information - Degree of Regulation
• 3. Dataset Attribute Description
• 4. Dataset Data Source
• 5. Dataset in KMZ format
• 6. Dataset in SHAPEFILE format (dams)
• 7. Dataset in SHAPEFILE format (dams catchments)
• 8. Supplementary Table 1: Future Dams in South America

This dataset presents a rich collection of physicochemical parameters from 147 reservoirs distributed across the conterminous U.S. One hundred and eight of the reservoirs were selected using a statistical survey design and can provide unbiased inferences to the condition of all U.S. reservoirs. These data could be of interest to local water management specialists or those assessing the ecological condition of reservoirs at the national scale. These data have been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for publication. This dataset is not publicly accessible because: It is too large. It can be accessed through the following means: https://github.com/USEPA/SuRGE. Format: This dataset presents water quality and related variables for 147 reservoirs distributed across the U.S. Water quality parameters were measured during the summers of 2016, 2018, and 2020 – 2023. Measurements include nutrient concentration, algae abundance, dissolved oxygen concentration, and water temperature, among many others. Dataset includes links to other national and global scale data sets that provide additional variables.

This data set consists of daily observations from four United States Bureau of Reclamation reservoirs within the UMRBPP region. Data were retrieved from the USBR for the UMRBPP period (5 April to 5 May 1999). Please see the README file for more information.

This CSV file contains 21 dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous USA. Dam metrics fall into four main categories: segment-based, count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,468) primarily from the National Anthropogenic Barrier Dataset (NABD) that were spatially linked to the National Hydrography Dataset Plus version 1 (NHDPlusV1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV1 (COMID) which can be used to join this table to spatial layers and data tables of the NHDPlusV1. Non-fluvial features in the NHDPlusV1 (lake and reservoir flow paths, coastlines, etc.) are excluded (see NFHP metadata).
Please contact Arthur Cooper (coopera@msu.edu) for a copy of the publication associated with this data: Cooper, A.R., Infante, D.M., Da ...

About this dataset

Context

The dataset tabulates the population of Federal Dam by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Federal Dam. The dataset can be utilized to understand the population distribution of Federal Dam by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Federal Dam. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Federal Dam.

Key observations

Largest age group (population): Male # 5-9 years (13) | Female # 60-64 years (12). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Federal Dam population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Federal Dam is shown in the following column.
• Population (Female): The female population in the Federal Dam is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Federal Dam for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Federal Dam Population by Gender. You can refer the same here

A Brief History of the NIDThe site we see today was first conceptualized in the 1970s when Congress tasked the U.S. Army Corps of Engineers (USACE) with identifying, inspecting, and inventorying dams in the U.S (National Dam Inspection Act, PL 92-367).Early data gathering for the NID was led by USACE, which published the first inventory in 1975. By 1982, the NID included 68,153 dam records gathered from dam inspections, extensive record searches, and some feature extraction from aerial imagery. These NID databases were available on diskettes and compact discs.In the late 1990s, the NID was transitioned to a web-based platform and viewing the data on a map. Gathering data on dams also transitioned during this time - the most accurate data was now coming from states, territories, and federal agencies. This transition aligned with the establishment of the National Dam Safety Program.Information Available in the NIDSince transitioning to a web-based platform, site visitors have been able to download or export certain data. The NID is currently the only place to find and download national data at such a detailed level.Today, the database contains information for more than 91,000 dams that meet the following criteria:Dams where a failure or mis-operation will likely result in loss of human life (high hazard potential).Dams where a failure or mis-operation would likely result in disruption of access to critical facilities, damage to public and private facilities, and require difficult mitigation efforts (significant hazard potential).Dams that meet minimum height and reservoir size requirements, even though they do not pose the same level of life or economic risk as those above – these dams are equal to or exceed 25 feet in height and exceed 15 acre-feet in storage, or equal to or exceeding 50 acre-feet in storage and exceeding 6 feet in height.The NID does not yet contain all dams in the U.S. that meet these criteria. Continued, routine updates to the NID and enhanced data collection efforts, focused on the most reliable data sources (primarily the many federal and state government dam regulatory programs), will help capture these dams and result in a more robust dataset over time.National Inventory of DamsContact NID at NID@usace.army.mil

National Inventory of DamsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays dams within the United States, Puerto Rico and Guam. Per the USACE, "The National Inventory of Dams (NID) consists of dams meeting at least one of the following criteria:Dams where downstream flooding would likely result in loss of human life (high hazard potential).Dams where downstream flooding would likely result in disruption of access to critical facilities, damage to public and private facilities, and require difficult mitigation efforts (significant hazard potential).Dams that meet minimum height and reservoir size requirements, even though they do not pose the same level of life or economic risk as those above – these dams are typically equal to or exceed 25 feet in height and exceed 15 acre-feet in storage, or equal to or exceeding 50 acre-feet storage and exceeding 6 feet in height.The NID does not yet contain all dams in the U.S. that meet these criteria. Continued, routine updates to the NID and enhanced data collection efforts, focused on the most reliable data sources (primarily the many federal and state government dam regulatory programs), will help capture these dams and result in a more robust dataset over time."Hoover, Davis & Glen Canyon DamsData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Dams) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 160 (National Inventory of Dams)OGC API Features Link: (National Inventory of Dams - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Inventory of DamsSupport Documentation: Reference DocumentsFor feedback please contact: Esri_US_Federal_Data@esri.comThumbnail courtesy of: Esri Basemaps ImageryNGDA Data SetThis data set is part of the NGDA Water - Inland Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Inland is defined as the "interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information."For other NGDA Content: Esri Federal Datasets

Congress first authorized the U.S. Army Corps of Engineers (USACE) to inventory dams in the United States with the National Dam Inspection Act (Public Law 92-367) of 1972. The NID was first published in 1975, with a few updates as resources permitted over the next ten years. The Water Resources Development Act of 1986 (P.L. 99-662) authorized USACE to maintain and periodically publish an updated NID, with re-authorization and a dedicated funding source provided under the Water Resources Development Act of 1996 (P.L. 104-3). USACE also began close collaboration with the Federal Emergency Management Agency (FEMA) and state regulatory offices to obtain more accurate and complete information. The National Dam Safety and Security Act of 2002 (P.L. 107-310) and the Dam Safety Act of 2006 reauthorized the National Dam Safety Program and included the maintenance and update of the NID by USACE. More recently, the NID was reauthorized as part of the Water Resources Reform and Development Act of 2014 and the Water Resources Development Act of 2018. The NID uses a single point to locate a dam. The NID consists of dams meeting at least one of the following criteria; 1) High hazard potential classification - loss of human life is likely if the dam fails, 2) Significant hazard potential classification - no probable loss of human life but can cause economic loss, environmental damage, disruption of lifeline facilities, or impact other concerns, 3) Equal or exceed 25 feet in height and exceed 15 acre-feet in storage, 4) Equal or exceed 50 acre-feet storage and exceed 6 feet in height.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Federal Dam. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Federal Dam. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Federal Dam, the median household income stands at $57,708 for householders within the 25 to 44 years age group, followed by $53,125 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $26,667.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Federal Dam median household income by age. You can refer the same here

The data set portrays the polygon water features (lakes, reservoirs, and rivers) of North Dakota. This data set was formerly distributed as Hydrography Features of the United States. This is a revised version of the November 1999 data set.

Constraints:
Acknowledgment of the National Atlas of the United States of America and (or) the U.S. Geological Survey would be appreciated in products derived from these data. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made by the U.S. Geological Survey regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. No responsibility is assumed by the U.S. Geological Survey in the use of these data. Not to be used for navigation, for informational purposes only. See full disclaimer for more information.

About this dataset

Context

The dataset tabulates the Federal Dam population by age. The dataset can be utilized to understand the age distribution and demographics of Federal Dam.

Content

The dataset constitues the following three datasets

• Federal Dam, MN Age Group Population Dataset: A complete breakdown of Federal Dam age demographics from 0 to 85 years, distributed across 18 age groups
• Federal Dam, MN Age Cohorts Dataset: Children, Working Adults, and Seniors in Federal Dam - Population and Percentage Analysis
• Federal Dam, MN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Small, surface-release dams can impair natural stream connectivity by disrupting the flow of water, sediment, nutrients, and biota. Many dams built during the 19th and 20th centuries have exceeded their functional lifespan, and as a result, dam removal has become an increasingly prevalent stream restoration method. However, many streams have not been consistently monitored before and after dam removal, and there is a paucity of information regarding how dam removals affect stream ecosystems across different dam, stream, and landscape characteristics. Therefore, this study aimed to quantify the effects of dams and dam removals on a critical water quality parameter (stream temperature) across 16 Massachusetts streams with completed (10 sites) or upcoming dam removals. We collected continuous temperature data for 1-3 years prior to removal and up to 5 years following removal in upstream, downstream, and impounded or formerly impounded reaches. Prior to dam removal, most sites experienced downstream warming, although the magnitude and spatial extent of dam impacts on temperature varied across sites. Within one year following dam removal, downstream warming was reduced or eliminated at some, but not all sites. These data suggest that the magnitude and time line of thermal recovery may vary depending on dam (e.g., dam and impoundment size), stream (e.g., upstream temperatures), and watershed characteristics (e.g., impervious/forest cover). An understanding of the factors influencing recovery of stream ecosystems following dam removal may inform our understanding of biotic responses and help set expectations for restoration.

The Dams in Montgomery County dataset contains information on dams located within Montgomery County, Texas, sourced from the US Army Corps of Engineers' National Inventory of Dams (NID). Dams are structures built to impound or control water and serve various purposes, including flood control, water supply, irrigation, and recreation. This dataset includes details such as dam names, locations, types, purposes, heights, and other relevant attributes.Data Fields Included:Dam NameDam Location (Latitude, Longitude)Dam TypeDam PurposeDam HeightDam OwnerDam StatusThis dataset is sourced from the US Army Corps of Engineer National Inventory of Dams as of May 5, 2023.Data source: US Army Corps of Engineer National Inventory of Dams

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Coulee Dam. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Coulee Dam. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Coulee Dam, householders within the 25 to 44 years age group have the highest median household income at $118,750, followed by those in the 45 to 64 years age group with an income of $101,667. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $55,476. Notably, householders within the under 25 years age group, had the lowest median household income at $47,125.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Coulee Dam median household income by age. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Coulee Dam, WA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Coulee Dam did not include 6, or 7-person households. Across the different household sizes in Coulee Dam the mean income is $100,512, and the standard deviation is $46,133. The coefficient of variation (CV) is 45.90%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $61,047. It then further increased to $158,759 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/coulee-dam-wa-median-household-income-by-household-size.jpeg" alt="Coulee Dam, WA median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Coulee Dam median household income. You can refer the same here

USA Detailed Water Bodies represents the major lakes, reservoirs, large rivers, lagoons, and estuaries in the United States. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA Detailed Water Bodies.

About this dataset

Context

The dataset tabulates the Coulee Dam population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Coulee Dam. The dataset can be utilized to understand the population distribution of Coulee Dam by age. For example, using this dataset, we can identify the largest age group in Coulee Dam.

Key observations

The largest age group in Coulee Dam, WA was for the group of age 20 to 24 years years with a population of 195 (13.38%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Coulee Dam, WA was the 80 to 84 years years with a population of 24 (1.65%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Coulee Dam is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Coulee Dam total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Coulee Dam Population by Age. You can refer the same here