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Retail Services BlockPy Library

From the CORGIS Dataset Project

By Austin Cory Bart acbart@vt.edu
Version 2.0.0, created 3/22/2016
Tags: retail, services, government, united states, usa, us, trade, food, services

Overview

The Advance Monthly and Monthly Retail Trade Surveys (MARTS and MRTS), the Annual Retail Trade Survey (ARTS), and the Quarterly E-Commerce Report work together to produce the most comprehensive data available on retail economic activity in the United States. More detailed descriptions of these programs can be found by choosing one of the links to the left. Regular quality control and verification takes place between MARTS, MRTS, and ARTS annually and between these programs and the Economic Census of Retail Trade every five years. Each year when annual data become available, we compare and resolve differences between the data collected on the monthly and annual surveys. We refer to this process as the monthly-to-annual reconciliation. At the same time, we benchmark the monthly estimates using results of the annual survey. ARTS estimates are then benchmarked to data maintained by the Economic Census of Retail Trade. This process of benchmarking retail data over all four programs ensures consistency in our estimates. The Business Expenses Supplement is an addition to the 2007 Annual Retail Trade Survey. Its purpose is to compile statistics on detailed business operating expenses. The United States Code, Title 13, authorizes this program as part of the Economic Census. This coverage was previously part of the predecessor Business Expenses Survey. Detailed expenses are collected every five years.

http://www.census.gov/retail/about_the_surveys.html

Key Descriptions

Key List of... Comment Example Value
time.index Integer $MISSING_FIELD 1
time.month Integer $MISSING_FIELD 1
time.month name String $MISSING_FIELD "Jan"
time.period String $MISSING_FIELD "Jan1992"
time.year Integer $MISSING_FIELD 1992
data.inventories.all department stores Integer $MISSING_FIELD 0
data.inventories.all other home furnishings stores Integer $MISSING_FIELD 0
data.inventories.all other merchandise stores Integer $MISSING_FIELD 0
data.inventories.appliances and other electronics stores Integer $MISSING_FIELD 0
data.inventories.auto and other motor vehicles Integer $MISSING_FIELD 0
data.inventories.automobile dealers Integer $MISSING_FIELD 0
data.inventories.automotive parts and tire stores Integer $MISSING_FIELD 0
data.inventories.beer, wine, and liquor stores Integer $MISSING_FIELD 0
data.inventories.book stores Integer $MISSING_FIELD 0
data.inventories.building materials and garden supplies dealers Integer $MISSING_FIELD 19545
data.inventories.building supplies dealers Integer $MISSING_FIELD 0
data.inventories.clothing stores Integer $MISSING_FIELD 22622
data.inventories.computer and software stores Integer $MISSING_FIELD 0
data.inventories.discount department stores Integer $MISSING_FIELD 0
data.inventories.drinking places Integer $MISSING_FIELD 0
data.inventories.electronic shopping and mail-order houses Integer $MISSING_FIELD 0
data.inventories.electronics and appliance stores Integer $MISSING_FIELD 0
data.inventories.family clothing stores Integer $MISSING_FIELD 0
data.inventories.floor covering stores Integer $MISSING_FIELD 0
data.inventories.food and beverage stores Integer $MISSING_FIELD 26963
data.inventories.food services and drinking places Integer $MISSING_FIELD 0
data.inventories.fuel dealers Integer $MISSING_FIELD 0
data.inventories.full service restaurants Integer $MISSING_FIELD 0
data.inventories.furniture and home furnishings stores Integer $MISSING_FIELD 0
data.inventories.furniture stores Integer $MISSING_FIELD 0
data.inventories.furniture, home furn, electronics, and appliance stores Integer $MISSING_FIELD 13850
data.inventories.gafo Integer $MISSING_FIELD 0
data.inventories.gasoline stations Integer $MISSING_FIELD 0
data.inventories.general merchandise stores Integer $MISSING_FIELD 43750
data.inventories.gift, novelty, and souvenir stores Integer $MISSING_FIELD 0
data.inventories.grocery stores Integer $MISSING_FIELD 0
data.inventories.hardware stores Integer $MISSING_FIELD 0
data.inventories.health and personal care stores Integer $MISSING_FIELD 0
data.inventories.hobby, toy, and game stores Integer $MISSING_FIELD 0
data.inventories.home furnishings stores Integer $MISSING_FIELD 0
data.inventories.household appliance stores Integer $MISSING_FIELD 0
data.inventories.jewelry stores Integer $MISSING_FIELD 0
data.inventories.limited service eating places Integer $MISSING_FIELD 0
data.inventories.men's clothing stores Integer $MISSING_FIELD 0
data.inventories.miscellaneous store retailers Integer $MISSING_FIELD 0
data.inventories.motor vehicle and parts dealers Integer $MISSING_FIELD 62619
data.inventories.new car dealers Integer $MISSING_FIELD 0
data.inventories.non-discount department stores Integer $MISSING_FIELD 0
data.inventories.non-leased department stores Integer $MISSING_FIELD 33798
data.inventories.nonstore retailers Integer $MISSING_FIELD 0
data.inventories.office supplies and stationery stores Integer $MISSING_FIELD 0
data.inventories.office supplies, stationery, and gift stores Integer $MISSING_FIELD 0
data.inventories.other clothing stores Integer $MISSING_FIELD 0
data.inventories.other general merchandise stores Integer $MISSING_FIELD 0
data.inventories.paint and wallpaper stores Integer $MISSING_FIELD 0
data.inventories.pharmacies and drug stores Integer $MISSING_FIELD 0
data.inventories.radio, TV, and electronics stores Integer $MISSING_FIELD 0
data.inventories.retail trade Integer $MISSING_FIELD 235509
data.inventories.retail trade and food services Integer $MISSING_FIELD 0
data.inventories.retail trade and food services, ex auto Integer $MISSING_FIELD 0
data.inventories.retail trade, ex auto Integer $MISSING_FIELD 172890
data.inventories.shoe stores Integer $MISSING_FIELD 0
data.inventories.sporting goods stores Integer $MISSING_FIELD 0
data.inventories.sporting goods, hobby, book, and music stores Integer $MISSING_FIELD 0
data.inventories.supermarkets and other grocery (except convenience) stores Integer $MISSING_FIELD 0
data.inventories.used car dealers Integer $MISSING_FIELD 0
data.inventories.used merchandise stores Integer $MISSING_FIELD 0
data.inventories.warehouse clubs and superstores Integer $MISSING_FIELD 0
data.inventories.women's clothing stores Integer $MISSING_FIELD 0
data.ratio.all department stores Integer $MISSING_FIELD 0
data.ratio.all other home furnishings stores Integer $MISSING_FIELD 0
data.ratio.all other merchandise stores Integer $MISSING_FIELD 0
data.ratio.appliances and other electronics stores Integer $MISSING_FIELD 0
data.ratio.auto and other motor vehicles Integer $MISSING_FIELD 0
data.ratio.automobile dealers Integer $MISSING_FIELD 0
data.ratio.automotive parts and tire stores Integer $MISSING_FIELD 0
data.ratio.beer, wine, and liquor stores Integer $MISSING_FIELD 0
data.ratio.book stores Integer $MISSING_FIELD 0
data.ratio.building materials and garden supplies dealers Float $MISSING_FIELD 2.18
data.ratio.building supplies dealers Integer $MISSING_FIELD 0
data.ratio.clothing stores Float $MISSING_FIELD 3.26
data.ratio.computer and software stores Integer $MISSING_FIELD 0
data.ratio.discount department stores Integer $MISSING_FIELD 0
data.ratio.drinking places Integer $MISSING_FIELD 0
data.ratio.electronic shopping and mail-order houses Integer $MISSING_FIELD 0
data.ratio.electronics and appliance stores Integer $MISSING_FIELD 0
data.ratio.family clothing stores Integer $MISSING_FIELD 0
data.ratio.floor covering stores Integer $MISSING_FIELD 0
data.ratio.food and beverage stores Float $MISSING_FIELD 0.91
data.ratio.food services and drinking places Integer $MISSING_FIELD 0
data.ratio.fuel dealers Integer $MISSING_FIELD 0
data.ratio.full service restaurants Integer $MISSING_FIELD 0
data.ratio.furniture and home furnishings stores Integer $MISSING_FIELD 0
data.ratio.furniture stores Integer $MISSING_FIELD 0
data.ratio.furniture, home furn, electronics, and appliance stores Float $MISSING_FIELD 1.95
data.ratio.gafo Integer $MISSING_FIELD 0
data.ratio.gasoline stations Integer $MISSING_FIELD 0
data.ratio.general merchandise stores Float $MISSING_FIELD 2.92
data.ratio.gift, novelty, and souvenir stores Integer $MISSING_FIELD 0
data.ratio.grocery stores Integer $MISSING_FIELD 0
data.ratio.hardware stores Integer $MISSING_FIELD 0
data.ratio.health and personal care stores Integer $MISSING_FIELD 0
data.ratio.hobby, toy, and game stores Integer $MISSING_FIELD 0
data.ratio.home furnishings stores Integer $MISSING_FIELD 0
data.ratio.household appliance stores Integer $MISSING_FIELD 0
data.ratio.jewelry stores Integer $MISSING_FIELD 0
data.ratio.limited service eating places Integer $MISSING_FIELD 0
data.ratio.men's clothing stores Integer $MISSING_FIELD 0
data.ratio.miscellaneous store retailers Integer $MISSING_FIELD 0
data.ratio.motor vehicle and parts dealers Float $MISSING_FIELD 2.1
data.ratio.new car dealers Integer $MISSING_FIELD 0
data.ratio.non-discount department stores Integer $MISSING_FIELD 0
data.ratio.non-leased department stores Float $MISSING_FIELD 3.28
data.ratio.nonstore retailers Integer $MISSING_FIELD 0
data.ratio.office supplies and stationery stores Integer $MISSING_FIELD 0
data.ratio.office supplies, stationery, and gift stores Integer $MISSING_FIELD 0
data.ratio.other clothing stores Integer $MISSING_FIELD 0
data.ratio.other general merchandise stores Integer $MISSING_FIELD 0
data.ratio.paint and wallpaper stores Integer $MISSING_FIELD 0
data.ratio.pharmacies and drug stores Integer $MISSING_FIELD 0
data.ratio.radio, TV, and electronics stores Integer $MISSING_FIELD 0
data.ratio.retail trade Float $MISSING_FIELD 1.8
data.ratio.retail trade and food services Integer $MISSING_FIELD 0
data.ratio.retail trade and food services, ex auto Integer $MISSING_FIELD 0
data.ratio.retail trade, ex auto Float $MISSING_FIELD 1.71
data.ratio.shoe stores Integer $MISSING_FIELD 0
data.ratio.sporting goods stores Integer $MISSING_FIELD 0
data.ratio.sporting goods, hobby, book, and music stores Integer $MISSING_FIELD 0
data.ratio.supermarkets and other grocery (except convenience) stores Integer $MISSING_FIELD 0
data.ratio.used car dealers Integer $MISSING_FIELD 0
data.ratio.used merchandise stores Integer $MISSING_FIELD 0
data.ratio.warehouse clubs and superstores Integer $MISSING_FIELD 0
data.ratio.women's clothing stores Integer $MISSING_FIELD 0
data.sales.all department stores Integer $MISSING_FIELD 10560
data.sales.all other home furnishings stores Integer $MISSING_FIELD 0
data.sales.all other merchandise stores Integer $MISSING_FIELD 2111
data.sales.appliances and other electronics stores Integer $MISSING_FIELD 2142
data.sales.auto and other motor vehicles Integer $MISSING_FIELD 26788
data.sales.automobile dealers Integer $MISSING_FIELD 25800
data.sales.automotive parts and tire stores Integer $MISSING_FIELD 3023
data.sales.beer, wine, and liquor stores Integer $MISSING_FIELD 1509
data.sales.book stores Integer $MISSING_FIELD 790
data.sales.building materials and garden supplies dealers Integer $MISSING_FIELD 8964
data.sales.building supplies dealers Integer $MISSING_FIELD 7637
data.sales.clothing stores Integer $MISSING_FIELD 4852
data.sales.computer and software stores Integer $MISSING_FIELD 933
data.sales.discount department stores Integer $MISSING_FIELD 5601
data.sales.drinking places Integer $MISSING_FIELD 1049
data.sales.electronic shopping and mail-order houses Integer $MISSING_FIELD 2692
data.sales.electronics and appliance stores Integer $MISSING_FIELD 3241
data.sales.family clothing stores Integer $MISSING_FIELD 1649
data.sales.floor covering stores Integer $MISSING_FIELD 728
data.sales.food and beverage stores Integer $MISSING_FIELD 29589
data.sales.food services and drinking places Integer $MISSING_FIELD 15693
data.sales.fuel dealers Integer $MISSING_FIELD 1916
data.sales.full service restaurants Integer $MISSING_FIELD 6887
data.sales.furniture and home furnishings stores Integer $MISSING_FIELD 3846
data.sales.furniture stores Integer $MISSING_FIELD 2392
data.sales.furniture, home furn, electronics, and appliance stores Integer $MISSING_FIELD 7087
data.sales.gafo Integer $MISSING_FIELD 33906
data.sales.gasoline stations Integer $MISSING_FIELD 12099
data.sales.general merchandise stores Integer $MISSING_FIELD 14996
data.sales.gift, novelty, and souvenir stores Integer $MISSING_FIELD 658
data.sales.grocery stores Integer $MISSING_FIELD 27306
data.sales.hardware stores Integer $MISSING_FIELD 842
data.sales.health and personal care stores Integer $MISSING_FIELD 7258
data.sales.hobby, toy, and game stores Integer $MISSING_FIELD 620
data.sales.home furnishings stores Integer $MISSING_FIELD 1454
data.sales.household appliance stores Integer $MISSING_FIELD 601
data.sales.jewelry stores Integer $MISSING_FIELD 796
data.sales.limited service eating places Integer $MISSING_FIELD 6438
data.sales.men's clothing stores Integer $MISSING_FIELD 701
data.sales.miscellaneous store retailers Integer $MISSING_FIELD 3642
data.sales.motor vehicle and parts dealers Integer $MISSING_FIELD 29811
data.sales.new car dealers Integer $MISSING_FIELD 24056
data.sales.non-discount department stores Integer $MISSING_FIELD 4959
data.sales.non-leased department stores Integer $MISSING_FIELD 10306
data.sales.nonstore retailers Integer $MISSING_FIELD 6860
data.sales.office supplies and stationery stores Integer $MISSING_FIELD 788
data.sales.office supplies, stationery, and gift stores Integer $MISSING_FIELD 1446
data.sales.other clothing stores Integer $MISSING_FIELD 0
data.sales.other general merchandise stores Integer $MISSING_FIELD 4690
data.sales.paint and wallpaper stores Integer $MISSING_FIELD 0
data.sales.pharmacies and drug stores Integer $MISSING_FIELD 6358
data.sales.radio, TV, and electronics stores Integer $MISSING_FIELD 1541
data.sales.retail trade Integer $MISSING_FIELD 130683
data.sales.retail trade and food services Integer $MISSING_FIELD 146376
data.sales.retail trade and food services, ex auto Integer $MISSING_FIELD 116565
data.sales.retail trade, ex auto Integer $MISSING_FIELD 100872
data.sales.shoe stores Integer $MISSING_FIELD 1206
data.sales.sporting goods stores Integer $MISSING_FIELD 972
data.sales.sporting goods, hobby, book, and music stores Integer $MISSING_FIELD 3439
data.sales.supermarkets and other grocery (except convenience) stores Integer $MISSING_FIELD 0
data.sales.used car dealers Integer $MISSING_FIELD 1744
data.sales.used merchandise stores Integer $MISSING_FIELD 371
data.sales.warehouse clubs and superstores Integer $MISSING_FIELD 2579
data.sales.women's clothing stores Integer $MISSING_FIELD 1873