This Address Standards document has been developed to describe the addressing standards used for the Master Address Repository (MAR). The MAR is DC Government’s official address database and is widely used across the City of Washington, DC. The OCTO Data Team which is part of the Office of the Chief Technology Officer (OCTO), is responsible for maintaining the MAR.

The Master Address Repository (MAR) Viewer is part of the District's location services documented in Addressing in DC. It makes locating addresses or place name as easy as possible by employing spell check and lists of street names or property aliases. Find the Ward a property falls in, or its police district, and more details.

The District of Columbia government uses the Master Address Repository (MAR) to implement intelligent search functionality for finding and verifying addresses, place names, blocks and intersections. It provides complete standardization of addressing components so that agency applications and systems maintain clean integration. Most often the MAR is solely known for its address points. But did you know it is also a web data service, a standalone app, a toolbar and website? Did you know uses of the MAR go beyond DC government and are available for public use in your applications? Take a look at what we've done with it and then make it your own.

The Master Address Repository (MAR) 2.0 is the successor to the Master Address Repository. The Master Address Repository is a complex and widely accessed database that is increasingly being accessed by many DC Government applications. It is important to have high quality documentation readily accessible for such widely used databases. This document contains the column (field) definitions for the most important views, tables and feature classes within the MAR 2.0.

An address anomaly is an address whose location is illogical. In other words, the address does not follow the normal rules of the District of Columbia’s (DC) addressing grid system. There are different types of anomalies.

The MAR allows the District Government to more easily compare information across databases and agencies. Learn more about the MAR with these frequently asked questions.

The MAR is a SOAP web service with multiple geocoding and address verification operations. This page includes information and examples for using the MAR to look up information about locations within DC through a code based querying interfaces.

Address Residential Units. This dataset contains residential units and attributes of Address points, created as part of the Master Address Repository (MAR) for the D.C. Residential units can be condominiums or also apartments. Office of the Chief Technology Officer (OCTO) and DC Department of Consumer and Regulatory Affairs . It contains the addresses in the District of Columbia which are typically placed on the buildings. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc.

The MAR Web Geocoder is a web browser-based tool for geocoding locations, typically addresses, in Washington, DC. It is developed by the Office of Chief Technology Officer (OCTO) and can input Excel or CSV files to output an Excel file. Geocoding is the process of assigning a location in the form of geographic coordinates (often expressed as latitude and longitude) to spreadsheet data. This is done by comparing the descriptive geographic data to known geographic locations such as addresses, blocks, intersections, or place names.

The dataset contains locations and attributes of retired address points, created as part of the Master Address Repository (MAR) for the Office of the Chief Technology Officer (OCTO) and Department of Buildings (DOB). There are over 40,000 retired addresses. These once existed, but no longer do. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc. The data dictionary is available: https://opendata.dc.gov/documents/2a4b3d59aade43188b6d18e3811f4fd3/explore. In the MAR 2, the AddressPt is called ADDRESSES_PT and its features additional useful information such as placement location, created date, last edited date, begin date and more.

The dataset contains locations and attributes of blocks, created as part of the Master Address Repository (MAR) for the Office of the Chief Technology Officer (OCTO) and participating DC government agencies. The blocks used street centerlines information from DDOT. Blocks include named alleys in DC (such as 'WALTER ALLEY NE'). A block represents a street segment which usually has two bordering streets. The coordinates for the blocks are located at the midpoint of the street segment. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc. The data dictionary is available: https://opendata.dc.gov/documents/2a4b3d59aade43188b6d18e3811f4fd3/explore. In the MAR 2, the BlocksPt is called BLOCKS_PT and is primarily based off of street data from DC Department of Transportation's Roads & Highways database, it also features additional useful information such as created date, last edited date, begin date, and more.

Also known as place names. The dataset contains locations and attributes of address alias points, created as part of the Master Address Repository (MAR) for the Office of the Chief Technology Officer (OCTO) and participating DC government agencies. It contains address alias names in the District of Columbia which are typically placed on buildings. These alias names represent named features such as: - Schools - Federal Buildings - Military Installations - Hospitals - Museums - Monuments - University Structures - Fire and Police Stations - Libraries - Metro Facilities - Historical Landmarks - Recreation Centers - Mile Markers - Marinas and more. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc. The data dictionary is available: https://opendata.dc.gov/documents/2a4b3d59aade43188b6d18e3811f4fd3/explore. In the MAR 2, the AddressAliasPt is called PLACE_NAMES_PT and features additional useful information such as created date, last edited date, begin date, and more.

The dataset contains locations and attributes of intersections created as part of the Master Address Repository (MAR) for the Office of the Chief Technology Officer (OCTO) and participating DC government agencies. The intersection points - MAR is primarily derived from DC Department of Transportation's (DDOT) intersection table in their Street Spatial Database (SSD). Regular at-grade intersections (TYPE = 'REGULAR') as well as overpasses (TYPE = 'OVERPASS'), underpasses (TYPE = 'UNDERPASS') and ramps (TYPE = 'RAMP') are included. The overpasses, underpasses, and ramps are based on street centerlines from DDOT. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc. The data dictionary is available: https://opendata.dc.gov/documents/2a4b3d59aade43188b6d18e3811f4fd3/explore. In the MAR 2, the IntersectionPt is called INTERSECTIONS_PT and is primarily based off of street data from DC Department of Transportation's Roads & Highways database. It also features additional useful information such as created date, last edited date, begin date, and more.

United States GDPS: 2012p: saar: DC: Government data was reported at 40.862 USD bn in Jun 2018. This records an increase from the previous number of 40.766 USD bn for Mar 2018. United States GDPS: 2012p: saar: DC: Government data is updated quarterly, averaging 39.347 USD bn from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 41.506 USD bn in Mar 2017 and a record low of 34.596 USD bn in Mar 2007. United States GDPS: 2012p: saar: DC: Government data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A115: NIPA 2018: GDP by State: Mideast Region: Chain Linked 2012 Price: saar.

Korea (DC)GDP: CE: Government Consumption Expenditure data was reported at 38,432.100 KRW bn in Sep 2008. This records an increase from the previous number of 34,787.400 KRW bn for Jun 2008. Korea (DC)GDP: CE: Government Consumption Expenditure data is updated quarterly, averaging 4,374.800 KRW bn from Mar 1970 (Median) to Sep 2008, with 155 observations. The data reached an all-time high of 38,432.100 KRW bn in Sep 2008 and a record low of 50.700 KRW bn in Mar 1970. Korea (DC)GDP: CE: Government Consumption Expenditure data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.A063: GDP: By Expenditure: Current Price (Old). Replacement Series ID: 211808702

Japan (DC)GDP: 90p: Exports data was reported at 18,205.900 JPY bn in Mar 2001. This records a decrease from the previous number of 19,660.800 JPY bn for Dec 2000. Japan (DC)GDP: 90p: Exports data is updated quarterly, averaging 5,664.900 JPY bn from Mar 1955 (Median) to Mar 2001, with 185 observations. The data reached an all-time high of 19,660.800 JPY bn in Dec 2000 and a record low of 311.800 JPY bn in Mar 1955. Japan (DC)GDP: 90p: Exports data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.A149: SNA 68: GDP by Expenditure: 1990 Price (Old).