Age and Sex in State House District 33, South Dakota (State House District)

Age Structure#1

Percentage in each age cohort per year of age.1 Gray areas represent percentile bands from the lower state legislative districts in South Dakota.
Scope: population of South Dakota, State House District 33, and other lower state legislative districts in South Dakota
State House District 33
South Dakota
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0.0% 0.5% 1.0% 1.5% Count % 85+ 80-84 75-79 70-74 67-69 65-66 62-64 60-61 55-59 50-54 45-49 40-44 35-39 30-34 25-29 22-24 21 20 18-19 15-17 10-14 5-9 0-4 329 1.488% 1.49% 248 1.122% 1.12% 326 1.475% 1.47% 642 2.904% 2.90% 774 3.501% 3.50% 396 1.791% 1.79% 663 2.999% 3.00% 688 3.112% 3.11% 1,890 8.550% 8.55% 1,760 7.962% 7.96% 1,686 7.627% 7.63% 1,349 6.102% 6.10% 1,305 5.903% 5.90% 1,588 7.184% 7.18% 1,475 6.672% 6.67% 948 4.288% 4.29% 124 0.561% 0.56% 176 0.796% 0.80% 498 2.253% 2.25% 675 3.053% 3.05% 1,387 6.274% 6.27% 1,578 7.138% 7.14% 1,601 7.242% 7.24%

Detailed Age and Sex#2

Percentage in each age cohort per year of age.1
Scope: population of South Dakota and State House District 33
Female Male
South Dakota
State House District 33
Shaded bar tips show excess over facing bar.
0.5% 0.0% 0.5% Count % 85+ 80-84 75-79 70-74 67-69 65-66 62-64 60-61 55-59 50-54 45-49 40-44 35-39 30-34 25-29 22-24 21 20 18-19 15-17 10-14 5-9 0-4 -0.033362% -0.026294% -0.050821% -0.046837% -0.059656% 0.06% 0.033362% 0.050821% 0.033362% 0.03% 329 1.488% 1.49% -0.085950% -0.052474% -0.188658% -0.068783% -0.138424% 0.14% 0.085950% 0.188658% 0.085950% 0.09% 248 1.122% 1.12% -0.144757% -0.005428% -0.225425% -0.070335% -0.150185% 0.15% 0.144757% 0.225425% 0.144757% 0.14% 326 1.475% 1.47% -0.249706% -0.307151% -0.035967% -0.249706% 0.25% 0.249706% 0.081426% 0.307151% 0.331132% 0.33% 642 2.904% 2.90% -0.536808% -0.353491% -0.026701% -0.536808% 0.54% 0.536808% 0.093489% 0.353491% 0.630296% 0.63% 774 3.501% 3.50% -0.418438% -0.058808% -0.442742% -0.477246% 0.48% 0.418438% 0.442742% 0.021510% 0.418438% 0.42% 396 1.791% 1.79% -0.441811% -0.532236% -0.441811% 0.44% 0.441811% 0.116107% 0.532236% 0.017854% 0.557918% 0.56% 663 2.999% 3.00% -0.705691% -0.144757% -0.596766% -0.850448% 0.85% 0.705691% 0.596766% 0.024540% 0.705691% 0.71% 688 3.112% 3.11% -0.793450% -0.123044% -0.676032% -0.004823% -0.916493% 0.92% 0.793450% 0.676032% 0.793450% 0.79% 1,890 8.550% 8.55% -0.700262% -0.191803% -0.718930% -0.892066% 0.89% 0.700262% 0.718930% 0.003757% 0.700262% 0.70% 1,760 7.962% 7.96% -0.740975% -0.043427% -0.656424% -0.784402% 0.78% 0.740975% 0.656424% 0.013573% 0.740975% 0.74% 1,686 7.627% 7.63% -0.583552% -0.053379% -0.564059% -0.636931% 0.64% 0.583552% 0.564059% 0.013742% 0.583552% 0.58% 1,349 6.102% 6.10% -0.588076% -0.004524% -0.545348% -0.592599% 0.59% 0.588076% 0.545348% 0.044886% 0.588076% 0.59% 1,305 5.903% 5.90% -0.693929% -0.048856% -0.608799% -0.742785% 0.74% 0.693929% 0.608799% 0.033810% 0.693929% 0.69% 1,588 7.184% 7.18% -0.598932% -0.136614% -0.647820% -0.735547% 0.74% 0.598932% 0.647820% 0.054847% 0.598932% 0.60% 1,475 6.672% 6.67% -0.681565% -0.638837% -0.681565% 0.68% 0.681565% 0.066347% 0.638837% 0.076709% 0.747912% 0.75% 948 4.288% 4.29% -0.194517% -0.719100% -0.194517% 0.19% 0.194517% 0.171899% 0.719100% 0.060713% 0.366416% 0.37% 124 0.561% 0.56% -0.357369% -0.081426% -0.750002% -0.438795% 0.44% 0.357369% 0.750002% 0.062167% 0.357369% 0.36% 176 0.796% 0.80% -0.506650% -0.113091% -0.720433% -0.619741% 0.62% 0.506650% 0.720433% 0.033931% 0.506650% 0.51% 498 2.253% 2.25% -0.449350% -0.659761% -0.449350% 0.45% 0.449350% 0.119123% 0.659761% 0.034133% 0.568473% 0.57% 675 3.053% 3.05% -0.485841% -0.636017% -0.485841% 0.49% 0.485841% 0.283181% 0.636017% 0.053805% 0.769022% 0.77% 1,387 6.274% 6.27% -0.579933% -0.267801% -0.674529% -0.847734% 0.85% 0.579933% 0.674529% 0.033180% 0.579933% 0.58% 1,578 7.138% 7.14% -0.682168% -0.690768% -0.682168% 0.68% 0.682168% 0.084140% 0.690768% 0.046849% 0.766308% 0.77% 1,601 7.242% 7.24%

Age and Sex#3

Percentage in each age cohort per year of age.1
Scope: population of South Dakota and State House District 33
Female Male
South Dakota
State House District 33
Shaded bar tips show excess over facing bar.
0.5% 0.0% 0.5% Count % Senior 2 Older Adult 3 Younger Adult 4 College 5 Children 6 -0.168632% -0.003895% -0.178008% -0.046164% -0.172527% 0.17% 0.168632% 0.178008% 0.168632% 0.17% 2,715 12.282% 12.3% -0.687053% -0.079978% -0.635663% -0.767032% 0.77% 0.687053% 0.635663% 0.009355% 0.687053% 0.69% 8,036 36.352% 36.4% -0.647135% -0.041718% -0.607019% -0.688853% 0.69% 0.647135% 0.607019% 0.049880% 0.647135% 0.65% 5,316 24.048% 24.0% -0.434271% -0.033927% -0.727492% -0.468199% 0.47% 0.434271% 0.727492% 0.047686% 0.434271% 0.43% 798 3.610% 3.61% -0.634820% -0.665881% -0.634820% 0.63% 0.634820% 0.047498% 0.665881% 0.042865% 0.682319% 0.68% 5,241 23.708% 23.7%

Sex Ratio#4

Percentage more males or females in selected age cohorts.
Scope: population of South Dakota and State House District 33
More Females More Males
South Dakota
State House District 33
50% 0% 50% M:F F M 85+ 80-84 75-79 70-74 67-69 65-66 62-64 60-61 55-59 50-54 45-49 40-44 35-39 30-34 25-29 22-24 21 20 18-19 15-17 10-14 5-9 0-4 -78.813559% -92.160954% -78.813559% 78.8% 0.559 0.56 64.134% 64.1% 35.866% 35.9% -61.052632% -36.459404% -61.052632% 61.1% 0.621 0.62 61.694% 61.7% 38.306% 38.3% -3.750000% -31.200946% -3.750000% 3.8% 0.964 0.96 50.920% 50.9% 49.080% 49.1% -11.709935% 32.608696% 32.608696% 32.6% 1.326 1.33 42.991% 43.0% 57.009% 57.0% -7.553422% 17.415730% 17.415730% 17.4% 1.174 1.17 45.995% 46.0% 54.005% 54.0% -14.054054% -14.054054% 14.1% 4.858355% 0.877 0.88 53.283% 53.3% 46.717% 46.7% 26.279863% 3.354584% 26.279863% 26.3% 1.263 1.26 44.193% 44.2% 55.807% 55.8% -20.512821% -20.512821% 20.5% 4.112093% 0.830 0.83 54.651% 54.7% 45.349% 45.3% -15.507412% -0.713441% -15.507412% 15.5% 0.866 0.87 53.598% 53.6% 46.402% 46.4% -27.390181% -27.390181% 27.4% 0.522536% 0.785 0.78 56.023% 56.0% 43.977% 44.0% -5.860806% -5.860806% 5.9% 2.067641% 0.945 0.94 51.423% 51.4% 48.577% 48.6% -9.147287% -9.147287% 9.1% 2.436300% 0.916 0.92 52.187% 52.2% 47.813% 47.8% -0.769231% -0.769231% 0.8% 8.230745% 0.992 0.99 50.192% 50.2% 49.808% 49.8% -7.040417% -7.040417% 7.0% 5.553565% 0.934 0.93 51.700% 51.7% 48.300% 48.3% -22.809668% -22.809668% 22.8% 8.466460% 0.814 0.81 55.119% 55.1% 44.881% 44.9% 9.734513% 12.007588% 9.734513% 9.7% 1.097 1.10 47.679% 47.7% 52.321% 52.3% 88.372093% 8.442872% 88.372093% 88.4% 1.884 1.88 34.677% 34.7% 65.323% 65.3% -22.784810% -22.784810% 22.8% 8.288900% 0.814 0.81 55.114% 55.1% 44.886% 44.9% -22.321429% -22.321429% 22.3% 4.709840% 0.818 0.82 55.020% 55.0% 44.980% 45.0% 26.510067% 5.173575% 26.510067% 26.5% 1.265 1.27 44.148% 44.1% 55.852% 55.9% 58.286778% 8.459721% 58.286778% 58.3% 1.583 1.58 38.717% 38.7% 61.283% 61.3% -46.177847% -46.177847% 46.2% 4.918975% 0.684 0.68 59.379% 59.4% 40.621% 40.6% 12.334218% 6.782218% 12.334218% 12.3% 1.123 1.12 47.096% 47.1% 52.904% 52.9%

Map of Age Cohorts by County in State House District 33

Children Age Cohorts by County#5

Percentage of population aged 0 to 17 (%):
24.437%24.481%24.524%24.568%24.611%24.655%

College Age Cohorts by County#6

Percentage of population aged 18 to 21 (%):
5.33%5.41%5.47%5.54%5.61%5.69%

20s Age Cohorts by County#7

Percentage of population aged 22 to 29 (%):
11.32%11.48%11.63%11.79%11.94%12.10%

30s Age Cohorts by County#8

Percentage of population aged 30 to 39 (%):
12.7614%12.7658%12.7701%12.7745%12.7789%12.7833%

40s Age Cohorts by County#9

Percentage of population aged 40 to 49 (%):
11.67%11.75%11.83%11.90%11.98%12.06%

50s Age Cohorts by County#10

Percentage of population aged 50 to 59 (%):
14.53%14.66%14.79%14.92%15.05%15.18%

60s Age Cohorts by County#11

Percentage of population aged 60 to 69 (%):
9.42%9.57%9.71%9.85%10.00%10.15%

70s Age Cohorts by County#12

Percentage of population aged 70 to 79 (%):
4.87%5.09%5.31%5.53%5.75%5.98%

80+ Age Cohorts by County#13

Percentage of population aged 80 and older (%):
2.93%3.17%3.41%3.65%3.89%4.13%
Road Data © OpenStreetMap

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Map of Age Cohorts by County Subdivision in State House District 33

Children Age Cohorts by County Subdivision#14

Percentage of population aged 0 to 17 (%):
11.2%14.9%18.4%22.0%25.6%29.2%

College Age Cohorts by County Subdivision#15

Percentage of population aged 18 to 21 (%):
2.4%3.3%4.0%4.8%5.5%6.4%

20s Age Cohorts by County Subdivision#16

Percentage of population aged 22 to 29 (%):
4.8%7.6%10.3%13.0%15.7%18.5%

30s Age Cohorts by County Subdivision#17

Percentage of population aged 30 to 39 (%):
1.5%4.6%7.6%10.6%13.6%16.7%

40s Age Cohorts by County Subdivision#18

Percentage of population aged 40 to 49 (%):
8.7%10.2%11.6%13.0%14.5%15.9%

50s Age Cohorts by County Subdivision#19

Percentage of population aged 50 to 59 (%):
8.7%12.1%15.4%18.7%22.0%25.4%

60s Age Cohorts by County Subdivision#20

Percentage of population aged 60 to 69 (%):
5.0%7.3%9.5%11.8%14.1%16.4%

70s Age Cohorts by County Subdivision#21

Percentage of population aged 70 to 79 (%):
2.4%7.0%11.5%16.1%20.6%25.2%

80+ Age Cohorts by County Subdivision#22

Percentage of population aged 80 and older (%):
0.2%1.2%2.2%3.1%4.0%5.0%
Road Data © OpenStreetMap

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Map of Age Cohorts by Tract in State House District 33

Children Age Cohorts by Tract#23

Percentage of population aged 0 to 17 (%):
14.8%17.4%19.9%22.4%25.0%27.6%

College Age Cohorts by Tract#24

Percentage of population aged 18 to 21 (%):
1.5%3.2%4.8%6.4%8.1%9.7%

20s Age Cohorts by Tract#25

Percentage of population aged 22 to 29 (%):
4.4%7.7%10.9%14.1%17.3%20.6%

30s Age Cohorts by Tract#26

Percentage of population aged 30 to 39 (%):
6.0%8.8%11.5%14.2%16.9%19.6%

40s Age Cohorts by Tract#27

Percentage of population aged 40 to 49 (%):
8.4%11.0%13.5%16.1%18.7%21.3%

50s Age Cohorts by Tract#28

Percentage of population aged 50 to 59 (%):
10.9%13.8%16.7%19.6%22.4%25.3%

60s Age Cohorts by Tract#29

Percentage of population aged 60 to 69 (%):
6.0%7.8%9.7%11.5%13.3%15.1%

70s Age Cohorts by Tract#30

Percentage of population aged 70 to 79 (%):
2.3%4.7%7.1%9.5%11.8%14.3%

80+ Age Cohorts by Tract#31

Percentage of population aged 80 and older (%):
0.6%1.6%2.5%3.5%4.4%5.4%
Road Data © OpenStreetMap

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Map of Age Cohorts by Block Group in State House District 33

Children Age Cohorts by Block Group#32

Percentage of population aged 0 to 17 (%):
3%11%18%25%32%40%

College Age Cohorts by Block Group#33

Percentage of population aged 18 to 21 (%):
1.0%4.8%8.5%12.2%15.9%19.6%

20s Age Cohorts by Block Group#34

Percentage of population aged 22 to 29 (%):
3.1%8.1%13.0%18.0%22.9%27.9%

30s Age Cohorts by Block Group#35

Percentage of population aged 30 to 39 (%):
2.4%7.0%11.6%16.1%20.7%25.3%

40s Age Cohorts by Block Group#36

Percentage of population aged 40 to 49 (%):
7.5%10.4%13.3%16.2%19.0%21.9%

50s Age Cohorts by Block Group#37

Percentage of population aged 50 to 59 (%):
6.7%11.7%16.7%21.7%26.6%31.6%

60s Age Cohorts by Block Group#38

Percentage of population aged 60 to 69 (%):
4.3%7.4%10.4%13.5%16.6%19.7%

70s Age Cohorts by Block Group#39

Percentage of population aged 70 to 79 (%):
0.0%4.2%8.4%12.6%16.8%21.1%

80+ Age Cohorts by Block Group#40

Percentage of population aged 80 and older (%):
0.0%1.6%3.1%4.7%6.3%7.9%
Road Data © OpenStreetMap

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Age Cohorts by Place in State House District 33

There are 7 places that are fully or partially contained within State House District 33 (2 fully and 5 partially). This section compares all 7 of those to each other, State House District 33, and other entities that contain or substantially overlap with State House District 33.

Children by Place#41

Percentage of population aged 0 to 17 (%):
Scope: population of State House District 33, selected places in State House District 33, and entities that contain State House District 33
0% 10% 20% Count # Summerset Ashland Heights Ashland Hts Box Elder Colonial Pine Hills Colonial Pne Hls South Dakota Rapid City Metro Area Rapid City West North Central Rapid City Midwest United States of America United States State House District 33 SD-33 Blackhawk Johnson Siding 29.164655% 29.164655% 29.2% 604 1 29.112426% 29.112426% 29.1% 246 2 28.314687% 28.314687% 28.3% 2,379 3 25.755879% 25.755879% 25.8% 690 4 24.743274% 24.743274% 24.7% 204,181 204k 24.124639% 24.124639% 24.1% 33,044 33.0k 24.035114% 24.035114% 24.0% 4,961,373 4.96M 23.956522% 23.956522% 24.0% 16,530 16.5k 5 23.782699% 23.782699% 23.8% 15,969,644 16.0M 23.713901% 23.713901% 23.7% 73,877,478 73.9M 23.708495% 23.708495% 23.7% 5,241 19.391771% 19.391771% 19.4% 542 6 4.022989% 4.022989% 4.0% 28 7

Age Cohorts by Metro Area in State House District 33

There is 1 metro area that are fully or partially contained within State House District 33 (0 fully and 1 partially). This section compares all 1 of those to each other, State House District 33, and other entities that contain or substantially overlap with State House District 33.

Children by Metro Area#50

Percentage of population aged 0 to 17 (%):
Scope: population of State House District 33, selected metro areas in State House District 33, and entities that contain State House District 33
0% 5% 10% 15% 20% Count # South Dakota Rapid City Metro Area Rapid City West North Central Midwest United States of America United States State House District 33 SD-33 24.743274% 24.743274% 24.7% 204,181 204k 24.124639% 24.124639% 24.1% 33,044 33.0k 24.035114% 24.035114% 24.0% 4,961,373 4.96M 23.782699% 23.782699% 23.8% 15,969,644 16.0M 23.713901% 23.713901% 23.7% 73,877,478 73.9M 23.708495% 23.708495% 23.7% 5,241

Age Cohorts by County in State House District 33

There are 2 counties that are fully or partially contained within State House District 33 (0 fully and 2 partially). This section compares all 2 of those to each other, State House District 33, and other entities that contain or substantially overlap with State House District 33.

Children by County#59

Percentage of population aged 0 to 17 (%):
Scope: population of State House District 33, selected counties in State House District 33, and entities that contain State House District 33
0% 5% 10% 15% 20% Count # South Dakota Meade County Meade Pennington County Pennington Rapid City Metro Area Rapid City West North Central Midwest United States of America United States State House District 33 SD-33 24.743274% 24.743274% 24.7% 204,181 204k 24.654627% 24.654627% 24.7% 6,389 1 24.437481% 24.437481% 24.4% 25,110 25.1k 2 24.124639% 24.124639% 24.1% 33,044 33.0k 24.035114% 24.035114% 24.0% 4,961,373 4.96M 23.782699% 23.782699% 23.8% 15,969,644 16.0M 23.713901% 23.713901% 23.7% 73,877,478 73.9M 23.708495% 23.708495% 23.7% 5,241

Age Cohorts by County Subdivision in State House District 33

There are 7 county subdivisions that are fully or partially contained within State House District 33 (0 fully and 7 partially). This section compares all 7 of those to each other, State House District 33, and other entities that contain or substantially overlap with State House District 33.

Children by County Subdivision#68

Percentage of population aged 0 to 17 (%):
Scope: population of State House District 33, selected county subdivisions in State House District 33, and entities that contain State House District 33
0% 10% 20% Count # Summerset Central Pennington Cntrl Pennington Box Elder South Dakota Rapid City Metro Area Rapid City West North Central Rapid City Midwest United States of America United States State House District 33 SD-33 Southwest Meade SW Meade Mount Rushmore Mt Rushmore West Pennington W Pennington 29.164655% 29.164655% 29.2% 604 1 28.098275% 28.098275% 28.1% 3,877 2 28.073696% 28.073696% 28.1% 1,539 3 24.743274% 24.743274% 24.7% 204,181 204k 24.124639% 24.124639% 24.1% 33,044 33.0k 24.035114% 24.035114% 24.0% 4,961,373 4.96M 23.956522% 23.956522% 24.0% 16,530 16.5k 4 23.782699% 23.782699% 23.8% 15,969,644 16.0M 23.713901% 23.713901% 23.7% 73,877,478 73.9M 23.708495% 23.708495% 23.7% 5,241 21.312080% 21.312080% 21.3% 2,313 5 18.919700% 18.919700% 18.9% 1,310 6 11.282051% 11.282051% 11.3% 154 7

Age Cohorts by Lower State Legislative District in South Dakota

There are 37 lower state legislative districts in South Dakota. This section compares State House District 33 to all of the lower state legislative districts in South Dakota and to those entities that contain or substantially overlap with State House District 33.

Children by Lower State Legislative District#77

Percentage of population aged 0 to 17 (%):
Scope: population of State House District 33, selected other lower state legislative districts in South Dakota, and entities that contain State House District 33
0% 10% 20% 30% Count # State House District 26A SD-26A State House District 28A SD-28A State House District 27 SD-27 State House District 6 SD-6 State House District 10 SD-10 State House District 11 SD-11 State House District 26B SD-26B State House District 9 SD-9 State House District 2 SD-2 State House District 25 SD-25 State House District 35 SD-35 State House District 14 SD-14 State House District 29 SD-29 State House District 16 SD-16 State House District 1 SD-1 State House District 21 SD-21 State House District 19 SD-19 South Dakota State House District 32 SD-32 State House District 5 SD-5 State House District 4 SD-4 Rapid City Metro Area Rapid City West North Central State House District 22 SD-22 Midwest United States of America United States State House District 33 SD-33 State House District 24 SD-24 State House District 20 SD-20 State House District 28B SD-28B State House District 8 SD-8 State House District 3 SD-3 State House District 18 SD-18 State House District 23 SD-23 State House District 34 SD-34 State House District 15 SD-15 State House District 30 SD-30 State House District 13 SD-13 State House District 12 SD-12 State House District 17 SD-17 State House District 31 SD-31 State House District 7 SD-7 38.878111% 38.878111% 38.9% 4,609 1 35.354765% 35.354765% 35.4% 4,355 2 35.089247% 35.089247% 35.1% 8,060 3 32.300867% 32.300867% 32.3% 7,863 4 29.304337% 29.304337% 29.3% 6,980 5 28.665514% 28.665514% 28.7% 6,964 6 28.528703% 28.528703% 28.5% 3,434 7 27.733031% 27.733031% 27.7% 6,852 8 26.993413% 26.993413% 27.0% 6,598 9 26.878102% 26.878102% 26.9% 6,390 10 26.833646% 26.833646% 26.8% 6,728 11 26.298542% 26.298542% 26.3% 6,420 12 26.182649% 26.182649% 26.2% 6,531 13 26.159555% 26.159555% 26.2% 5,922 14 25.193018% 25.193018% 25.2% 6,004 15 25.128912% 25.128912% 25.1% 5,653 16 24.799051% 24.799051% 24.8% 5,646 17 24.743274% 24.743274% 24.7% 204,181 204k 24.666950% 24.666950% 24.7% 6,388 18 24.552839% 24.552839% 24.6% 5,834 19 24.412505% 24.412505% 24.4% 5,724 20 24.124639% 24.124639% 24.1% 33,044 33.0k 24.035114% 24.035114% 24.0% 4,961,373 4.96M 23.823723% 23.823723% 23.8% 5,433 21 23.782699% 23.782699% 23.8% 15,969,644 16.0M 23.713901% 23.713901% 23.7% 73,877,478 73.9M 23.708495% 23.708495% 23.7% 5,241 22 23.293208% 23.293208% 23.3% 5,360 23 23.255051% 23.255051% 23.3% 5,674 24 22.944858% 22.944858% 22.9% 2,713 25 22.651472% 22.651472% 22.7% 5,148 26 21.836148% 21.836148% 21.8% 5,392 27 21.769251% 21.769251% 21.8% 4,902 28 21.577213% 21.577213% 21.6% 4,780 29 21.200766% 21.200766% 21.2% 4,979 30 20.706557% 20.706557% 20.7% 4,478 31 20.450458% 20.450458% 20.5% 5,003 32 20.404486% 20.404486% 20.4% 4,530 33 20.100168% 20.100168% 20.1% 4,535 34 19.567655% 19.567655% 19.6% 4,363 35 19.152438% 19.152438% 19.2% 4,655 36 16.697665% 16.697665% 16.7% 4,040 37