1. DLI - Small Area Data Product Review Jeff Moon Maps, Data, & Government Information Centre (MADGIC) Queens University National DLI Training Montreal May 14, 2007

2. Small Area Data What data exists? Where does it come from? Coverage – Years, Geography? Content? Strengths & Weaknesses?

3. What Data Exists? SAAD Small Area & Administrative Data 63C0021 SARTRE Small Area Retail Trade Estimates 63C0021 SABAL Small Area Business & Labour Database 61F0056XCB Descript- ion A wide variety tables dealing with income, income distribution, investment & more Tables of retail sales ($) & no. of locations to 5-digit NAICS for incorporated retailers A real grab-bag of statistics, from tourism to business, to justice and much more Status Ongoing Ceased

4. Where does it come from? Source Administrative records - most notably, the taxation files Derived by integrating survey data on chain stores with tax data for non-chain retailers Derived from a wide variety of sources (Census, Justice, Taxfiles, and more) SAAD Small Area & Administrative Data SARTRE Small Area Retail Trade Estimates SABAL Small Area Business & Labour Database

5. Coverage – Years, Geography? Years Varies 1989/95/97 - 2003 1999 - 2003 Varies 1976 - 1995 Geography Canada Provinces Territories Census Division (CD) Census Metropolitan Area (CMA) Census Agglomeration (CA) Census Tract (CT) Federal Electoral District (FED) Forward Sortation Area (FSA) Canada Provinces Territories Urban – FSAs Rural - 6-digit Postal Codes Canada Provinces Territories Census Metropolitan Area (CMA) Census Agglomeration (CA) SAADSARTRESABAL

6. Content? SAADSARTRESABAL Contents Canadian Capital Gains Charitable Donors Neighbourhood Income and Demographics Canadian Investment Income Economic Dependency RRSP Contribution Limits Canadian Investors Families RRSP Contributors Canadian Savers Labour Force Income Profiles Seniors Canadian Taxfilers Migration Estimates NAICS (1 to 5 digit) Province / FSA / PCode Year Sales (1000s dollars) Number of Locations Adult Education and Training Labour Force Survey Tourism- Domestic travel Business Register Revenue Canada Business Administrative Data Census of Population Revenue Can. Business Admin Data Justice (Crime Statistics) Building Permits Housing Starts Consumer Price Index (CPI) Population Estimates and Projections Tourism- International Travel Education Manufacturing Justice (Crime statistics) Retail Trade Taxfiler Families Family Expenditure Income and Housing Section Motor Vehicle Registrations

7. Content of note… SAAD: Economic Dependency Ratios Economic Dependency Ratio (EDR) Ratio of transfer payments to every $100 of total employment income. e.g. EDR of 18.64 means that $18.64 was received in transfer payments for every $100 of employment income for that area. Provincial Index (Province = 100) & Canadian Index (Canada = 100) EDR expressed as a % of the EDR for the province. e.g. If EDR for an area has a provincial index of 114, that EDR is 14% higher than the provincial EDR. Same applies to Canada.

8. The place to go for detailed taxfiler information for small areas Data broken down by gender, age, income, living arrangements, & more Generally well documented (guides provided, but would have been nice to have definitions, footnotes, etc. in Excel Tables) Strengths & Weaknesses SAAD – Strengths…

9. Strengths & Weaknesses SAAD – Weaknesses… Tables include column for Postal Walk, but no data provided Tables broken up into inconsistent chunks (e.g. 1995-2001 then 1999-2003, and 1995-2000 then 2003… wheres 2002?) Economic Dependency Profiles show up in a number of places… confusing http://library.queensu.ca/webdoc/ssdc/cdbk snew/saad/saad_guide.htm#edp

10. The only database that provides retail sales at a geographical level as small as the postal code. Provides 5-digit NAICS codes starting in 1999. Census of companies registered as corporations. Possible to use these data to build econometric models based on the retail sales variables. However, the strength of this database is cross- sectional rather than chronological analysis. Its data follows closely the levels of data of annual and annualized monthly surveys. Strengths & Weaknesses SARTRE – Strengths… Source: prod.library.utoronto.ca:8090/datalib/codebooks/cstdli/sartre/sartre-gid.doc

11. Cannot be used for chronological analysis; postal code changes prevent this. Data published is dated. Many records are deleted for reasons of confidentiality (Duffett Rules). Data does not include non-incorporated stores, whereas the annual survey does. Comparison with other sources of retail sales information (monthly and annual surveys (NAICS estimate)) at the FSA level is not possible and instead must be carried out at the provincial level. Strengths & Weaknesses SARTRE – Weaknesses… Source: prod.library.utoronto.ca:8090/datalib/codebooks/cstdli/sartre/sartre-gid.doc

12. Strengths: Vast array of data from a variety of sources Weaknesses: Dated and dead. No new version of SABAL since 1996. Less detail (e.g. SARTRE has 5-digit NAICS, SABAL has 4-digit in Business Register) Strengths & Weaknesses SABAL

13. Census of Canada: The most detailed geography available – DA and block. PCensus for MapPoint Canadian Consumer Expenditures – detailed expenditures to DA level and non-standard geography (circles, polygons, drive-time polygons) Canada Business Summary – Numbers of businesses to 2-digit NAICS to the DA level and non-standard geography Census data for non-standard geography Other Sources of Small Area Data

14. Questions