The Postal Code Conversion File (PCCF) is a digital file which provides a correspondence between the Canada Post Corporation (CPC) six-character postal code and Statistics Canada's standard geographic areas for which census data and other statistics are produced. Through the link between postal codes and standard geographic areas, the PCCF permits the integration of data from various sources. The Single Link Indicator provides one best link for every postal code, as there are multiple records for many postal codes. Getting started guide To obtain the postal code conversion file or for questions, consult the DLI contact at your educational institution. The geographic coordinates attached to each postal code on the PCCF are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). The location information is a powerful tool for planning, or research purposes. In April 1983, the Geography Division released the first version of the PCCF, which linked postal codes to 1981 Census geographic areas and included geographic coordinates. Since then, the file has been updated on a regular basis to reflect changes. For this release of the PCCF, the vast majority of the postal codes are directly geocoded to 2006 Census geography. This improves precision of the file over the previous conversion process used to align postal code linkages to new geographic areas after each census. About 94% of the postal codes were linked to geographic areas using the new automated process. A quality indicator for the confidence of this linkage is available in the PCCF.

The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

The data demonstrates the location of CDBG-DR-funded buyout activities as part of the Office of Community Planning and Development's (CPD) Disaster Recovery Buyout Program.The data is derived from an extract of HUD CPD’s Disaster Recovery Grants Reporting (DRGR) System, an address-level dataset that includes Community Development Block Grant – Disaster Recovery activities for certain grantees and over a limited span of time during which grantees were required to report addresses of certain funded activities. Buyouts are a unique disaster-related activity made eligible through a waiver in the allocation of CDBG-DR grants following a natural hazard disaster. Under the waiver, grantees are permitted to use CDBG-DR funds to pay the pre-disaster or post-disaster value to acquire properties impacted by a natural hazard, usually flooding, for the purpose of risk reduction. The offer creates an incentive for impacted homeowners to relocate to a residence outside of a high hazard risk area. The property must be maintained by the local jurisdiction as open space indefinitely to eliminate future disaster liability. Each observation in the address-level dataset is a standardized, geocoded address at which a residential buyout took place. The buyouts were reported by grantees through March 31, 2020. The data extract was drawn, geocoded, processed, and aggregated to the census tract-level following the close of 2020 Q1. Only addresses that were geocoded to a moderate to high level of accuracy were included (LVL2KX = "R" (rooftop) or "4" (Zip+4 centroid)). The addresses extracted from DRGR were geocoded using the HUD Batch Geocoder which matches geocoordinates with standard Census geographies. The data contains buyouts completed through March 31, 2020. An activity is reported as “completed” once an end-use is met; for example, buyouts are complete upon legal acquisition of a property. All activities are aggregated to the 2010 Decennial Census Tract geography. Note: The data are not a comprehensive record of all buyouts funded with CDBG-DR. The activities were completed between October 2009 and March 2020. Grantees were required to enter addresses for these activities beginning in 2015. Early reporting of the address information is voluntary.The data being displayed are census tract level counts of CDBG-DR-assisted addresses. In order to protect privacy, census tracts where there were fewer than 11 buyouts display a value of -4.To learn more about the Disaster Recovery Buyout Program, please visit: https://www.hudexchange.info/programs/cdbg-dr/disaster-recovery-buyout-program/#buyout-program-overview-considerations-and-strategies, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_HUD CPD CDBG-DR BuyoutsDate of Coverage: Cumulative through 2020 Q1

The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.