Dataset

This dataset was created by haakakak

Contents

This data collection relates ZIP codes to counties, to standard metropolitan statistical areas (SMSAs), and, in New England, to minor civil divisions (MCDs). The relationships between ZIP codes and other geographical units are based on 1979 boundaries, and changes since that time are not reflected. The Census Bureau used various sources to determine ZIP code-county or ZIP code-MCD relationships. In the cases where the sources were confusing or contradictory as to the geographical boundaries of a ZIP code, multiple ZIP-code records (each representing the territory contained in that ZIP-code area) were included in the data file. As a result, the file tends to overstate the ZIP code-county or ZIP code-MCD crossovers. The file is organized by ZIP code and is a byproduct of data used to administer the 1980 Census. Variables include ZIP codes, post office names, FIPS state and county codes, county or MCD names, and SMSA codes. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08051.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

S M S A De C V Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This study contains data retrieved from the CENSUS OF POPULATION AND HOUSING, 1970: FOURTH COUNT summary files on selected items that were not included in the COUNTY AND CITY DATA BOOK, 1972 (ICPSR 0061). Data on age, sex, ethnicity, place of birth, level of education, employment status, occupation, and family income are reported for the population of each county and county equivalent in the United States as well as the District of Columbia. County equivalents are parishes in Louisiana, census divisions in Alaska, and independent cities in Virginia and Missouri. Identification variables such as names of counties, Standard Metropolitan Statistical Areas codes, and both the Census Bureau and ICPSR state and county codes are also provided. The data were originally compiled from the 1970 Census summary tapes by John McAdams of Harvard University. ICPSR added identification codes and county names, reformatted some substantive variables, and corrected some SMSA code values.

Dataset

This dataset was created by haakakak

Contents

Smsa Express Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Smsa Express Transporatation Llc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This data collection contains the MEDList file, the geographic reference file for the 1970 Census containing records for states, counties, minor civil divisions (MCD) or census county divisions (CCD)s, place segments, enumeration districts, and block groups. Items include state code, county code, MCD/CCD code, place code, place type, standard consolidated area code, standard metropolitan statistical area (SMSA) code, urbanized area code, tracted area code, state economic area code, economic subregion code, central business district code, area name, tract code, block group code, enumeration district code, urban/rural classification, ward code, congressional district code, housing count, and population count.

Abstract (en): This data collection contains data on the number of teachers, students, and other staff of local education agencies (LEA) for each of the 50 states, the District of Columbia, and outlying territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands). The records also contain school district identifiers such as state code, standard metropolitan statistical area (SMSA) code, address, and metro status code. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All public elementary and secondary education agencies in the 50 states, District of Columbia, United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands), and Department of Defense schools outside of the United States. The codebook and data collection instrument are provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

State and local government employment data are provided in this file. Full- and part-time employment, full-time equivalency, and payroll statistics are included. Data are supplied by type of government and by function. Governmental functions include education, police and fire protection, financial and central administration, judiciary, utilities, public welfare, parks and recreation, health care, transit, and natural resources. Standard Metropolitan Statistical Area (SMSA) codes are given for local governments in metropolitan areas. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08447.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This system provides the user with a facility to select a state and county combination to determine if the selected county is part of an Office of Management and Budget (OMB) defined Core Based Statistical Area (CBSA). The system has been updated with OMB area definitions published for FY 2009.

This file contains the publicly available violation data used for the current month’s SMS calculations. Contains details on each violation that was used in SMS calculations. This includes an identifier linking the violation to the inspection in which it was cited, the violation code, violation description, and information related to the SMS methodology. File is comma delimited. One violation per row.

Smsa Et Frere Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

MSA

## Overview

MSA is a dataset for object detection tasks - it contains Game annotations for 314 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Bazaar S M S A Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

TIGER road data for the MSA. When compared to high-resolution imagery and other transportation datasets positional inaccuracies were observed. As a result caution should be taken when using this dataset. TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

Simpas S M S A Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This data set contains estimates of the percentage smoke detector utilization at the Census Tract level for the United States. Development of this data set is described in NIST TN 2020 (see references below). The zip file contains the data in shapefile format. Each record is a single census tract (using the 2013 Tiger files for census tracts) with associated data. Fields contained in the data set are: geoid: Geographic ID of the census tract. Format is '14000USXXYYYZZZZZZ', where XX is the FIPS code for the state, YYY is the FIPS code for the county, and ZZZZZZ is the census tract number. This field serves as a unique ID for the dataset. state: FIPS code for the state. county: FIPS code for the county. tract: Tract number. smsa: Standard Metropolitan Statistical Area as used in the American Housing Survey. PUMA: Public Use Microdata Area ID. region: Census region. dtctrs: Estimated fraction of households in the census tract with smoke detectors installed.

This dataset contains SMS messages labeled as ham or spam. It’s used to build a spam detection model. NLP techniques like tokenization and vectorization are applied manually (without inbuilt functions) to prepare the text for classification.

Summary File 1 (SF1) Urban/Rural Update contains summary statistics on population and housing subjects derived from the responses to the 2010 Census questionnaire. Population items include sex, age, race, Hispanic or Latino origin, household relationship, household type, household size, family type, family size, and group quarters. Housing items include occupancy status, vacancy status, and tenure (whether a housing unit is owner-occupied or renter-occupied). The summary statistics are presented in 333 tables, which are tabulated for multiple levels of observation (called "summary levels" in the Census Bureau's nomenclature), including, but not limited to, regions, divisions, states, metropolitan/micropolitan statistical areas, counties, county subdivisions, places, congressional districts, American Indian Areas, Alaska Native Areas, Hawaiian Home Lands, ZIP Code tabulation areas, census tracts, block groups, and blocks. There are 177 population tables and 58 housing tables shown down to the block level; 84 population tables and 4 housing tables shown down to the census tract level; and 10 population tables shown down to the county level. Some of the summary areas are iterated for "geographic components" or portions of geographic areas, e.g., the principal city of a metropolitan statistical area (MSA) or the urban and rural portions of a MSA. With one variable per table cell and additional variables with geographic information, the collection comprises 2,597 data files, 49 per state, the District of Columbia, Puerto Rico, and the National File. The Census Bureau released SF1 in three stages: initial release, National Update, and Urban/Rural Update. The National Update added summary levels for the United States, regions, divisions, and geographic areas that cross state lines such as Combined Statistical Areas. This update adds urban and rural population and housing unit counts, summary levels for urban areas and the urban/rural components of census tracts and block groups, geographic components involving urbanized areas and urban clusters, and two new tables (household type by relationship for the population 65 years and over and a new tabulation of the total population by race). The initial release and National Update is available as ICPSR 33461. ICPSR supplies this data collection in 54 ZIP archives. There is a separate archive for each state, the District of Columbia, Puerto Rico, and the National File. The last archive contains a Microsoft Access database shell and additional documentation files besides the codebook.