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Finding the Jewels
Among the Stones
Spelunking
for the “Five-Minute-a-Year”
DLI Contact
E. Hamilton,
Accoleds/DLI December 2006
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“So many acronyms!!—How do I get to know what is in
the collection? I haven’t even had time for lunch in the
past four years and I don’t get enough questions to
plumb the depths!”
This session presents an approach to the needs of the
“5 minutes per year” data person who is wearing many
hats and needs to find that match between the data
and the user in the DLI collection.
The Challenge
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Product Highlights
• It is an additional mode of learning and is audience driven
(the DLI contacts get to vote for their favourite new acronym)
• It is visual and broad—and is not a substitute for IMDB,
subject experts, or any other official information sources.
• Started with conscripted volunteers who took a product and
gave 10-minute overview of items in the DLI collection.
•There have now been 10 minute spots on:
DGAIS, ED, SPED, SPSD/M, Aeeeh, SARTRE, CBP,
FPICB, PEA, ESAS, ICO, XCL, KLEMS, a few more
acronyms and some revisiting…
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Product Highlights
• We have now broadened the scope to include families of
products where we do a bit of “compare and contrast”.
Included in the family relationship series have been:
Labour force (LFS, SEPH, Census, etc.), Health, Justice,
Classification systems, definitions & terminology used in
the STC world
Common to each product highlight are five basic
questions:
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Product Highlights: Key Elements
• What is it?
• When would I use it?
• What does it look like?
• What do I need to know?
• Where can I get more information?
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Product Highlights: Key Elements
• Must be short but pithy
• Focus on value to the collection in meeting needs of patrons
• Handouts are good; helps with the focus
• Sharing experiences is a bonus!
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One example is worth a
thousand words, right?
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AN INTRODUCTION TO …
“ED”
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What is it?
ED=Employment Dynamics
- Excel spreadsheets
- Selected statistics on businesses and the number of jobs
involved at a national and provincial level
- Includes the number of employers/businesses organized
by province, industry, employment size and life status
(continuing, new, defunct); indicating aggregate payroll and
their employment levels.
- Statistics for 1983/84-1997/98 (updates in sight, Monia?)
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- Stats are pulled from a longitudinal database [LEAP] of
all businesses that issue T4 slips, so StatsCan can
relate the following:
In 1997, there were about 955,800 active employers of all sizes. About
718,000, or 75%, had fewer than five employees; 213,000 or about 22%,
had between 5 and 50…. In 1996, about 145,500 employer businesses with
fewer than 50 employees began operations, up 2.6% from 1995. At the
same time, 125,900 firms of the same size went out of business, 11.7%
fewer firms than went out of business in 1995. The Daily, 8 March 2000
With ED, your users can do the same sort of analysis for
different industries or province
When would I use it?
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What does it look like?
When you unzip the file (english.zip), a directory called “ED” is
created and you will see the following structure unfold before your
eyes:
ED Data Tables Alberta
AB (Divisions).xls 2,175 KB
AB (Major Groups).xls 10,850 KB
AB (Total All Industries).xls 117KB
British Columbia
Canada
[etc.]
Documentation
GeneralProductInformation.DOC
IndustryCodes.XLS
LicenceAgreement.DOC
TableNotes.DOC
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“Newly-identified employers added 516,000 jobs; a loss of 399,000 jobs was
attributed to firms that terminated, and firms that were present in both 1997 and
1998 contributed a net addition of 556,000 jobs.” The Daily 13 June 2001
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What do I need to know?
What is the difference between the files available? It is the level of detail in
the industry code. In the three files for Nova Scotia, for example:
NS (total all industries).xls 11 columns and 643 rows
(the single code, Z00, is for “all
industries”)
NS (divisions).xls 11 columns, but 12,614 rows
(representing industry divisions)
NS (Major groups).xls 11 columns, but 49,154 rows
Print out the General Product Information and Table Notes.
These two documents are concise, providing an introduction to ED,
Industry Codes, and including key definitions (like what an ALU is).
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Documentation is not bad, but ask on the DLI-List
if you have questions.
Related products include SPED (Sub-provincial
Employment Dynamics), Canadian Business
Patterns, Small Business Profiles, and Insights
on… (61F0019XIE, available freely for
downloading on the Statistics Canada web site.
Where Can I Find More Information?
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Family Relationships
Looking at products by subject area
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In the Dysfunctional Family…
Census Geography (including PCCF family) Census Tables (DA and FSA level geog.) Historical Census pumfs/profiles KLEM: capital, labour, energy & material
database Catch and Effort Data: Atlantic Fisheries
Files only on the FTP server for really good reasons.
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The Labour Family
They’re not the mafia, but they’re tough!
A Tale of Sibling Rivalry
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Who/What Are They?
•They breed.
•They are everywhere
•They are powerful
•They get respect*
* Even from the Auditor General
SFS
LFS
SEPH
SLID
ELI
LAD CENSUS
AEEEH
EIS SHS
Labour force statistics provide an important economic indicator in
Canada. We need to understand their roots to help users come
to terms with using the statistics and related data files.
And more…
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The Health Family Tree
And Mixed Marriages
Who produces what?
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The Working Family
User Guides and Reference
Sources
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What are they?
More than this:
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What do they look like?
Global View of Surveys
System of National Economic Accounts
Guide to Statistics Canada pension and wealth surveys
Publicly available data resources
in the nonprofit sector in Canada
Guide to Transportation Data
Business Portal
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When Would You Use Them?
Got a
question?
I need to know how the LICO are
calculated. “20 percentage
points more” of what? Is it gross
income, disposable income, or
total consumption?
I'm looking for
something called
"the real effective
exchange rate".
Is output gap the
same as potential
GDP?
What surveys do
you have that deal
with labour topics?
Help! This doesn’t
make sense!
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What Do I Need to Know?
Finding them is the big challenge • Try the codebook; read the footnotes
• We love Definitions, Data Sources and Methods:
– Check individual surveys for sightings of “Additional
Documentation” and “Summary of Changes over Time”
• Search Online Catalogue and STC search:
– “user guide, manual, handbook, sources, method*, concepts”
plus the subject or survey you need
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Definitions, Data Sources and Methods
Changes
over time
Publications
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Be Imaginative!
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Thank you!
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Want to See
More Examples?
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SPSD/M
• Social Policy Simulation Database and
Model
• Allows “What if” questions relating to financial flows between households and governments
• Learning curve steep; DOS an asset
• Documentation critical to read!
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SPSD/M Components
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SPSD/M Look and Feel
Start-up screen
Parameter setting
Output screen
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DGAIS: Dangerous Goods Accident Information System
1998-2002
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* Annual estimates of employment, average weekly earnings, and total
weekly payrolls.
What is it?
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Annual estimates of employment, earnings and hours (aeeeh)
• Spawn of SEPH (Survey of employment, payroll and hours)
• Presented as aggregate statistics
• Business, rather than social survey
• Available straight up, or packaged
•1981-2005 (no quarterly stats)
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Annual estimates of employment, earnings and hours (aeeeh)
• Employment numbers
• Average weekly earnings
• Total payroll By type of employee (hrly,all) For industries (NAICS) Annual and monthly data
By size of enterprise
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Tutorials:
Beyond 20/20
Acrobat
Tables
72-002:
Employment,
Earnings and
Hours
Table no.
Table Title Frequency
File name
Table 1
All employees:
estimates of employment by NAICS 2002 code (326)
Annual
Tab_1aa.ivt
Monthly
Tab_1mh.ivt
Table 2
All employees:
estimates of average weekly earnings by NAICS 2002 code
(326)
Annual
Tab_2aa.ivt
Monthly
Tab_2mh.ivt
Table 3
All employees:
estimates of total weekly payrolls by NAICS 2002 code (22),
Annual
Tab_3aa.ivt
Monthly
Tab_3mh.ivt
Table 4
Employees:paid by the hour,
estimates of employment by NAICS 2002 code (288)
Annual
Tab_4aa.ivt
Monthly
Tab_4mh.ivt
Table 5
Employees:paid by the hour,
estimates of average hourly earnings by NAICS 2002 code
(288)
Monthly
Tab_5aa.ivt
Monthly
Tab_5ah.ivt
Table 6
Employees:paid by the hour,
estimates of average weekly hours
Annual
Tab_611.ivt
Monthly
Tab_6mh.ivt
Table 7
Employees:paid by the hour,
estimates of total weekly payrolls
Annual
Tab_7aa.ivt
Monthly
Tab_7mh.ivt
Data by size of enterprise
estimates of employment, average weekly earnings for all
employees; average weekly earnings for hourly employees
Annual
Tab_sca.ivt
Quarterly
Tab_sca.ivt
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When would I use it?
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You would use aeeeh if you need monthly data
or when you cannot retrieve statistics from
CANSIM. First time users would be wise to
consult the e-pub first for definitions
When should you
(a) chose aeeeh as a product over the e-
publication, Employment, Earnings and
Hours (72-002IXB)?
(b) Turn to aeeeh instead of the SEPH Cansim
tables?
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What Does It Look Like?
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Tutorials:
Beyond 20/20
Acrobat
•2003 annual
highlights
•Guide to Aeeeh
Tables
72-002:
Employment,
Earnings and
Hours
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Data by size of enterprise: annual (Tab_sca.ivt)
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What do I need to know?
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Table 281-0027 AWE unadjusted for
seasonal variation, by type of employee
for selected industries classified by
NAICS, annual
Canada
All employees
Regular & OT hours
Logging
All dates
CANSIM Offerings
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The data are available in aeeeh—but it is unclear whether these figures include overtime or not (they do, btw)
Aeeeh:
Canada
All employees
Logging
All dates
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What else do I need to know?
• Mother survey is SEPH
• Formerly, annual data in print/e-pub (Annual estimates of Employment, Earnings and Hours 72-0002); now discontinued. Annual data only though the DLI or for fee.
• The publication, Annual Estimates, included growth rates for selected
industries that are not included in aeeeh.
• Employment, Earnings and Hours is still produced as a monthly electronic publication through the DSP.
•Why would you even consider the e-print version? Documentation!!
It is easy to find out, for example, that librarians and university presidents are
grouped in with employees paid by the hour, along with janitorial staff--unless
classified as academics in the payroll records.