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Data Guidelines

Guidelines for using Racial and Ethnic Groups in Data Analyses
Updated: July 2003

Purpose

Background and Context

Definition of Minimum Categories

Guidelines

Implementation Schedule
Data Collection
Data Tabulation
Data Presentation

Additional Information

Special Issues

Estimates of "More than One Race" in Washington State
Bridging Ratios for Trend Analysis
Bridging Methods
Sample Use of Statistical Methods
Recommended Method
Additional Information
Converting Multiple to Single Race: Washington State Department of Health Discussion Paper

Guidelines For Using Racial and Ethnic Groups in Data Analyses (Word Document)

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Converting Multiple to Single Race

Washington State Department of Health discussion paper developed December 2002 and updated April 2003

(continued)

Younger people are more likely to have been reported as having more than one race in the 2000 US census. Therefore, different methods of allocating from multiple to single race for younger people will have a relatively larger effect. Table 5 shows death rates for causes of death that disproportionately affect younger people.

Table 51

 Ages 0 ? 14

Ages 15 - 24

Unintentional Injury 

 

White

Black

API2

AI/AN3

State rate

White

Black

API

AI/AN

State rate

Single

8.5

18.9

9.6

40.8

9.8

38.4

21.3

25.3

96.2

37.9

Equal

8.3

15.4

7.8

30.4

9.2

37.6

19.1

22.5

73.8

36.5

Unequal

8.3

14.6

7.8

33.6

9.2

37.6

18.6

22.5

81.3

36.5

Maximum

8.0

12.8

6.6

23.5

8.7

36.9

17.1

20.2

58.7

35.2

% Range

5.9

32.5

31.3

42.4

10.8

3.8

19.6

19.9

39.0

7.1

 

 

Suicide 

 

White

Black

API

AI/AN

State rate

White

Black

API

AI/AN

State rate

Single

0.6

0.0

0.0

0.0

0.5

12.1

9.1

8.4

18.0

11.8

Equal

0.6

0.0

0.0

0.0

0.5

11.8

8.2

7.5

13.8

11.4

Unequal

0.6

0.0

0.0

0.0

0.5

11.8

8.0

7.5

15.2

11.4

Maximum

0.5

0.0

0.0

0.0

0.5

11.6

7.3

6.7

11.0

11.0

% Range

5.9

0.0

0.0

0.0

10.8

3.8

19.6

19.9

39.0

7.1

 

 

Homicide 

 

White

Black

API

AI/AN

State rate

White

Black

API

AI/AN

State rate

Single

1.1

9.5

0.0

7.4

1.5

6.9

21.3

6.7

6.0

7.5

Equal

1.0

7.7

0.0

5.5

1.4

6.8

19.1

6.0

4.6

7.2

Unequal

1.0

7.3

0.0

6.1

1.4

6.8

18.6

6.0

5.1

7.2

Maximum

1.0

6.4

0.0

4.3

1.4

6.6

17.1

5.4

3.7

6.9

% Range

5.9

32.5

0.0

42.4

10.8

3.8

19.6

19.9

39.0

7.1

 

 

Motor Vehicle 

 

White

Black

API

AI/AN

State rate

White

Black

API

AI/AN

State rate

Single

3.7

5.7

4.1

14.8

4.0

25.7

6.1

13.5

66.1

24.8

Equal

3.6

4.6

3.4

11.0

3.8

25.2

5.5

12.0

50.7

24.0

Unequal

3.6

4.4

3.4

12.2

3.8

25.2

5.3

12.0

55.9

24.0

Maximum

3.5

3.8

2.8

8.5

3.6

24.8

4.9

10.8

40.3

23.1

% Range

5.9

32.5

31.3

42.4

10.8

3.8

19.6

19.9

39.0

7.1

1 The percent range cannot be calculated from the data in this table because of rounding. For example, the state rate for suicide in the 0-14 age group is 0.50583 in the ?single? category and 0.45144 in the ?maximum? category, both of which round to 0.5. 
2
Asian and Pacific Islander
3
American Indian and Alaska Native

As can be seen from Table 5

For whites, blacks and API, the percent difference between the highest and lowest rates are larger for youth than for all ages combined.

  • For whites,
    • The percent difference between the highest and lowest rate is about 6% for the younger age group and 4% for the older age group.
    • The absolute differences remain relatively small.
  • For blacks and APIs,
    • The percent difference between the highest and lowest rate is about 30% for the younger age group and 20% for the older age group.
    • There are not large differences between rates based on unequal and equal fractional allocation of people reporting more than one race.
    • For most causes of death, the rates remain the same relative to the rate for the state as a whole. However, for some causes of death, the rates for blacks or APIs change relative to the state depending on which method of developing rates is used. For example, for unintentional injury, rates for APIs are similar to those for the state as a whole using the "single" method, but lower than the state as a whole using the "maximum" method.
  • For AI/ANs,
    • The differences between the highest and lowest rates in these younger age groups are similar to those for all ages combined.
    • For some causes of death, the rate for AI/ANs relative to the overall rate depends on which method is used to allocate single to multiple races.

In addition to larger variations for selected age groups, there may also be a larger range of rates for counties with higher proportions of people of more than one race. For example, in King County, the percent difference between the highest and lowest age-adjusted death rates for AI/ANs for the causes of death shown in Table 4 hovers around 50% versus 40% for the state as a whole.

Conclusions and Recommendations

Based on this information, the Assessment Operations Group (AOG) of the DOH recommended using unequal fractional allocation as described above. Subsequent to this decision, the NCHS bridged population counts became available. As Table 6 illustrates, at the state level, these counts were very close to the unequal fractional allocation method recommended by the AOG.

Table 6: Comparison of NCHS bridged counts and DOH counts based on unequal allocation

Race

age group

NCHS bridged counts

DOH "unequal" counts

percent difference

 

Race

age group

NCHS bridged counts

DOH "unequal" counts

percent difference

AIAN1 0-4 9943 10077 -1.34%   Black 0-4 24012 23381 2.63%
AIAN 5-9 10902 11045 -1.32%   Black 5-9 24183 23508 2.79%
AIAN 10-14 11460 11640 -1.57%   Black 10-14 22364 21730 2.83%
AIAN 15-19 10612 10801 -1.79%   Black 15-19 20151 19585 2.81%
AIAN 20-24 8674 8885 -2.43%   Black 20-24 18478 18074 2.19%
AIAN 25-29 8365 8567 -2.41%   Black 25-29 18003 17670 1.85%
AIAN 30-34 8463 8697 -2.77%   Black 30-34 19026 18729 1.56%
AIAN 35-39 9081 9375 -3.24%   Black 35-39 19729 19437 1.48%
AIAN 40-44 8806 9141 -3.81%   Black 40-44 18119 17823 1.64%
AIAN 45-49 7472 7762 -3.89%   Black 45-49 13855 13624.5 1.66%
AIAN 50-54 5930 6197 -4.50%   Black 50-54 10157 9989.12 1.65%
AIAN 55-59 4104 4316 -5.17%   Black 55-59 6381 6283.58 1.53%
AIAN 60-64 2958 3110 -5.14%   Black 60-64 4608 4548.93 1.28%
AIAN 65-69 2053 2161 -5.27%   Black 65-69 3583 3545.15 1.06%
AIAN 70-74 1383 1464 -5.88%   Black 70-74 2878 2840.32 1.31%
AIAN 75-79 904 972 -7.58%   Black 75-79 2267 2240.6 1.16%
AIAN 80-84 499 538 -7.92%   Black 80-84 1327 1310.5 1.24%
AIAN 85+ 397 431 -8.46%   Black 85+ 975 965.133 1.01%
API2 0-4 27254 29522 -8.32%   White 0-4 333097 331327 0.53%
API 5-9 28000 29877 -6.70%   White 5-9 362824 361479 0.37%
API 10-14 28476 30081 -5.64%   White 10-14 372536 371385 0.31%
API 15-19 32048 33379 -4.15%   White 15-19 365157 364202 0.26%
API 20-24 32239 33163 -2.86%   White 20-24 330794 330064 0.22%
API 25-29 35766 36395 -1.76%   White 25-29 341518 341021 0.15%
API 30-34 33806 34291 -1.43%   White 30-34 376183 375760 0.11%
API 35-39 33341 33718 -1.13%   White 35-39 421799 421420 0.09%
API 40-44 31134 31452 -1.02%   White 40-44 433078 432721 0.08%
API 45-49 27546 27758 -0.77%   White 45-49 405350 405078 0.07%
API 50-54 21974 22081 -0.49%   White 50-54 353688 353482 0.06%
API 55-59 14768 14822 -0.37%   White 55-59 260252 260083 0.06%
API 60-64 11829 11862 -0.28%   White 60-64 191680 191554 0.07%
API 65-69 9321 9346 -0.27%   White 65-69 161268 161173 0.06%
API 70-74 7653 7676 -0.30%   White 70-74 149027 148960 0.04%
API 75-79 5228 5248 -0.38%   White 75-79 134309 134247 0.05%
API 80-84 2844 2863 -0.66%   White 80-84 93519 93477.3 0.04%
API 85+ 1954 1963 -0.47%   White 85+ 80759 80726.1 0.04%
1 Asian and Pacific Islander  
2
American Indian and Alaska Native

The NCHS and DOH unequal allocation methods also produced similar estimates at the county level. (Data available upon request.) Therefore for consistency with national standards, the AOG's final recommendation was to use the NCHS counts as the agency standard. 

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