The Office of Personnel Management requires government agencies, at a minimum, to query employees on job satisfaction, organizational assessment and organizational culture. VHA maintains response data for all census surveys such as the Voice of VA as well as the VA Entrance and Exit surveys.

Results of Pulse's Survey of HTTPS support in Government Agency Websites.

Data from: American Community Survey, 5-year Series

This is collection of DWR Region Land Use Surveys. These include several county land use surveys, In addition, you may scroll the list below to download any individual survey of interest. Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer. For Statewide Crop Mapping follow the link below : https://data.cnra.ca.gov/dataset/statewide-crop-mapping For County Land Use Surveys follow link below: https://data.cnra.ca.gov/dataset/resources/county-land-use-surveys Questions about the survey data may be directed to Landuse@water.ca.gov.

This is collection of DWR County Land Use Surveys. You may scroll the list below to download any individual survey of interest. Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer. For Statewide Crop Mapping follow the link below : https://data.cnra.ca.gov/dataset/statewide-crop-mapping For Region Land Use Surveys follow link below: https://data.cnra.ca.gov/dataset/region-land-use-surveys Questions about the survey data may be directed to Landuse@water.ca.gov.

The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children vaccinated or boosted and to track booster and updated vaccine uptake and readiness. The MOS fielded as part of an online omnibus survey, conducted with a cross-sectional sample of approximately 5,000 U.S. adults each month.

This survey is the sixth in a series of comprehensive nationwide surveys designed to help the Department of Veterans Affairs (VA) plan its future programs and services for Veterans. This is the first time VA has included groups other than Veterans.

The Point layer covers the State of Washington with a variety of different types of locations. The great majority of Points, point type 1, Corner Point, are located at the corners, or angle points, of Legal Description and Parcel areas. (See the metadata for Legal Description and Parcel.) Corner Points can represent differing types of locations such as surveyed monuments, locations calculated by survey, locations digitized from various maps like US Geological Survey quadrangles, and locations that serve no other purpose than to stabilize the endpoint of a Boundary or angle point of a Legal Description or Parcel. Points are the only features in the upland Cadastre that have attributes regarding the source and accuracy of the data. The known accuracy of the data varies dramatically from place to place. The attributes also indicate whether there is a known physical object to look for on the ground. The second type of Point, Geodetic Control Point, point type 2, is not currently populated. The third type of Point, Significant Coordinated Location, point type 3, can be used to store any type of point location that has cadastral significance. At present, the only Significant Coordinated Points in Cadastre are those points along the Washington Pacific Ocean coast which were used by the US Minerals Management Service to calculate the boundary of the State at one marine league from the coast.WA Public Land Survey Points MetadataClick to download

The American Community Survey (ACS) provides detailed demographic, social, economic, commuting and housing statistics based on continuous survey data collection. Data collected over the most recent 5 years are batched, summarized and published the following December.

These files contain summary data for Census Block Groups (CensusACSBlockGroup.xlsx), Tracts (CensusACSTract.xlsx), minor civil divisions (CensusACSMCD.xlsx), school districts (CensusACSSchoolDistrict.xlsx), and ZIP code tabulation areas (CensusACSZipCode.xlsx). No shapefiles are included, but these data files can be joined to associated shapefile datasets available elsewhere on this site. To facilitate this, the data files are also available as DBF tables and in a geodatabase.

Starting with the 2016-2020 data, tract and block group boundaries are those used in the 2020 Census. Starting with the 2017-2021 data, ZIP Code Tabulation Areas are those defined based on the 2020 Census. If you need the most recent ACS data for the tract and block group boundaries used in the 2010 Census, contact Matt Schroeder (information below).

Avian point count surveys were conducted at 184 Great Valley study sites, and 107 Mojave Desert sites, between March and June 2017. Whenever possible, three independent point count surveys of five minutes each were conducted over the course of the month-long survey period at each site. To enable relatively accurate distance measurements, observers would mentally mark 50 meters in each cardinal direction using a rangefinder. Observer qualifications determined the complexity of the survey being conducted, with a focal survey recording data for only 25 pre-designated species; for comprehensive surveys, data for all bird species was collected. During survey site establishment visits, a 15-minute quiet period was taken at the point count center prior to starting the survey; subsequent visits only required a 5-minute quiet period. During the quiet period, the observer recorded general information about the survey location, weather, etc. During the point count, observers recorded the name of each species using six letter codes. Individuals of each species were tallied within the three different distance categories: < 50 meters, > 50 meters, and flyover. Birds seen at multiple distances were recorded only at the closest distance. Observers also recorded the confidence level of their observations and the type of detection (aural and/or visual). When individuals were detected at different confidence levels, the observer created distinct entries of the species and separated them by confidence. If an unknown species was detected, the observation was labelled as UNK, numbered, recorded with the technician’s best guess to species ID, and marked at low confidence (e.g. UNK1 – HOUFIN).

NCHS has linked various surveys with Medicaid enrollment and claims records collected from the Centers for Medicare & Medicaid Services (CMS) Transformed Medicaid Statistical Information System (T-MSIS). Linkage of the NCHS survey participants with the CMS T-MSIS data creates a new data resource that can support research studies focused on a wide range of patient health outcomes and the association of means-tested government insurance programs on health and health outcomes.

This short report summarizes the type of national-, State-, and substate-level publications and methodologies using National Survey on Drug Use and Health (NSDUH). Information on accessing the NSDUH public-use file (PUF), the restricted-use data analysis system (R-DAS), and other future NSDUH data access options are discussed.

Annual survey of appoximately 5,000 motor carriers used to set sampling rates for random drug and alcohol tests of commercial drivers.

In 2008, DWR developed a series of survey monuments in the Sacramento Valley to create a subsidence monitoring network. The network encompasses all or part of 11 counties, from Shasta County at the north end of the valley to Solano and Sacramento counties in the south. It includes over 300 benchmarks with an average spacing of 4.3 miles (7 kilometers). During the spring/summer of 2008, DWR along with 25 local, State, and federal partners performed an initial GPS survey of the network to establish a baseline measurement to compare against future surveys. The initial survey was done using National Geodetic Survey standards.
DWR resurveyed the monument network in 2017 with assistance from 19 State, county, and local agencies, and a private entity. The methodology and equipment used was similar to the 2008 survey. Analysis of the results was done to depict the change in height at each monument from 2008 to 2017. The Arbuckle area (Colusa County) showed the most subsidence with a maximum change of -2.14 feet (ft.). Surrounding stations and InSAR data confirm this result with changes ranging from -0.49 to -1.00 ft. In eastern Yolo County (Zamora to Davis), the largest spatial extent of station declines was observed with several benchmarks showing changes between -0.3 and -1.1 ft. In Glenn County (Artois and Orland area), three stations, ARTO, K852, and AGUI showed changes of -0.59 ft., -0.46 ft., and -0.44 ft., respectively. An area on the south side of the Sutter Buttes showed changes ranging from -0.19 to -0.36 ft. The remainder of the valley shows little change overall.
During the time of the 2017 survey, groundwater levels in the Sacramento Valley were recovering from the severe drought of 2012-16. During the drought, groundwater levels hit historic lows in most wells in the Sacramento Valley with maximum decreases in Glenn and Colusa Counties of 58 ft. and 43 ft., respectively, compared to 2011 pre-drought conditions. During the survey field work in 2017,
groundwater levels had recovered about 7 ft. on average since 2015. The period between the two surveys was nine years, and it was not possible to determine when during that time frame the changes shown took place. However, it is likely that the subsidence occurred during the drought in 2012-16 when groundwater levels in many wells reached historic lows due to increased groundwater pumping. To better bracket when changes occur, surveys at a more frequent interval (3-5 years), are recommended. Integrating groundbased subsidence monitoring such as continuous GPS sites and extensometers and remote sensing data, such as InSAR, into the subsidence monitoring network is also recommended.

Overview of the DHCA Rental Survey

A land survey point from a GCDB LX file, survey plat, or captured from a CFF land net coverage. Includes points generated by calculating an aliquot breakdown of a section.

Responses from the 2021 open participation (non-probability) survey. In the dataset, you will find the respondent level data in each row with the questions in each column. The numbers represent a scale option from the survey, such as 1=Excellent, 2=Good, 3=Fair, 4=Poor. The question stem, response option, and scale information for each field can be found in the var "variable labels" and "value labels" sheets. VERY IMPORTANT NOTE: The open participation survey data were weighted, meaning that the demographic profile of respondents was compared to the demographic profile of adults in Bloomington from US Census data. Statistical adjustments were made to bring the respondent profile into balance with the population profile. This means that some records were given more "weight" and some records were given less weight. The weights that were applied are found in the field "wt". If you do not apply these weights, you will not obtain the same results as can be found in the report delivered to the Bloomington. The easiest way to replicate these results is likely to create pivot tables, and use the sum of the "wt" field rather than a count of responses.

A survey is a measurement for a parcel of land. Original surveys were performed as part of the patenting process where land was transferred from the public domain. The original patented surveys are recorded at the Texas General Land Office. The construction and placement of these survey polygons are not to be used to define or establish survey boundaries. These survey polygons are provided as a public service for informational purposes only.