Educational Attainment in State House District 33, Montana (State House District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Montana and State House District 33
State House District 33
Montana
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.410887%38.585750%29.410887%29.4%1,97260.715884%54.308782%60.715884%60.7%4,0719.873229%7.105467%9.873229%9.9%662
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Montana at large.
Scope: population of Montana and State House District 33
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-23.777853%-23.777853%-23.8%29.411%29.4%38.586%38.6%11.797542%11.797542%+11.8%60.716%60.7%54.309%54.3%38.952562%38.952562%+39.0%9.873%9.87%7.105%7.11%
% percentage with given level in State House District 33
ref. percentage with given level in Montana
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Montana and State House District 33
State House District 33
Montana
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.372856%1.189518%0.372856%0.4%250.536913%1.813342%0.536913%0.5%364.354959%6.751390%4.354959%4.4%29215.958240%20.180146%15.958240%16.0%1,0708.187919%8.651354%8.187919%8.2%54925.190157%24.538038%25.190157%25.2%1,68935.525727%29.770744%35.525727%35.5%2,3825.234899%5.055882%5.234899%5.2%3514.086503%1.631650%4.086503%4.1%2740.551827%0.417935%0.551827%0.6%37
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Montana at large.
Scope: population of Montana and State House District 33
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-68.654867%-68.654867%-68.7%0.373%0.37%1.190%1.19%-70.390989%-70.390989%-70.4%0.537%0.54%1.813%1.81%-35.495368%-35.495368%-35.5%4.355%4.35%6.751%6.75%-20.921086%-20.921086%-20.9%15.958%16.0%20.180%20.2%-5.356790%-5.356790%-5.4%8.188%8.19%8.651%8.65%2.657583%2.657583%+2.7%25.190%25.2%24.538%24.5%19.331001%19.331001%+19.3%35.526%35.5%29.771%29.8%3.540770%3.540770%+3.5%5.235%5.23%5.056%5.06%150.452120%150.452120%+150.5%4.087%4.09%1.632%1.63%32.036566%32.036566%+32.0%0.552%0.55%0.418%0.42%
% percentage with given level in State House District 33
ref. percentage with given level in Montana
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Montana and State House District 33
More Females More Males
Montana
State House District 33
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-18.402889%-8.537354%-18.402889%18%31.741%31.7%26.808%26.8%4.132600%4.035134%4.132600%4%59.553%59.6%62.015%62.0%28.399198%15.291118%28.399198%28%8.705%8.71%11.178%11.2%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Montana and State House District 33
More Females More Males
Montana
State House District 33
0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-929.409271%-929.409271%1k%79.732802%0.650%0.65%0.063%0.06%-79.027699%-79.027699%0k%45.354208%0.678%0.68%0.379%0.38%-22.382188%10.194630%10.194630%0k%4.155%4.15%4.578%4.58%-20.991247%-8.128677%-20.991247%0k%17.383%17.4%14.367%14.4%-19.605740%-20.051741%-19.605740%0k%8.875%8.88%7.420%7.42%-1.988343%16.166948%16.166948%0k%23.403%23.4%27.187%27.2%-3.797111%-3.797111%0k%9.244533%36.150%36.2%34.828%34.8%7.345831%11.249825%7.345831%0k%5.059%5.06%5.431%5.43%27.424416%24.561745%27.424416%0k%3.618%3.62%4.610%4.61%1,000.000000%31.529804%1,000.000000%> 1000%0.028%0.03%1.137%1.14%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Montana and State House District 33
State House District 33
Montana
0%5%10%15%20%25%B.X.Total65+45-6435-4425-348.859566%16.848093%8.859566%8.9%1882,12214.112751%19.114260%14.112751%14.1%3732,64323.362445%23.389397%23.362445%23.4%21491628.808594%24.046398%28.808594%28.8%2951,024
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Montana at large.
Scope: population of Montana and State House District 33
40%30%20%10%0%10%%ref.65+45-6435-4425-34-47.415020%-47.415020%47.4%8.860%8.86%16.848%16.8%-26.166375%-26.166375%26.2%14.113%14.1%19.114%19.1%-0.115228%-0.115228%0.1%23.362%23.4%23.389%23.4%19.804194%19.804194%19.8%28.809%28.8%24.046%24.0%
% percentage in State House District 33 with a Bachelor's degree
ref percentage in Montana with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Montana and State House District 33
More Females More Males
Montana
State House District 33
40%20%0%20%FM65+45-6435-4425-34-12.153359%-12.153359%12.2%29.124297%9.283%9.28%8.277%8.28%-18.709883%-9.301907%-18.709883%18.7%15.337%15.3%12.920%12.9%-42.126172%-34.211779%-42.126172%42.1%27.088%27.1%19.059%19.1%-30.742298%-24.036188%-30.742298%30.7%32.621%32.6%24.951%25.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Montana and State House District 33
State House District 33
Montana
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$49,700.000000$52,200.000000$49,700.000000$49.7k3535.265%5.26%$32,667.000000$38,869.000000$32,667.000000$32.7k1,07015.958%16.0%$26,984.000000$29,649.000000$26,984.000000$27.0k2,23833.378%33.4%$25,714.000000$25,978.000000$25,714.000000$25.7k2,38235.526%35.5%$13,458.000000$18,723.000000$13,458.000000$13.5k6629.873%9.87%$28,618.000000$31,261.000000$28,618.000000$28.6k6,705100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Montana and State House District 33
Female Male
Montana
State House District 33
Shaded bar tips show excess over facing bar.
$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-49,583.000000$-154.000000$-46,949.000000$-49,737.000000$49.7k$49,583.000000$46,949.000000$15,331.000000$49,583.000000$49.6k194159$-29,063.000000$-32,135.000000$-29,063.000000$29.1k$29,063.000000$8,235.000000$32,135.000000$15,187.000000$37,298.000000$37.3k615455$-20,000.000000$-23,772.000000$-20,000.000000$20.0k$20,000.000000$20,759.000000$23,772.000000$12,764.000000$40,759.000000$40.8k1,1421,096$-23,750.000000$-20,308.000000$-23,750.000000$23.8k$23,750.000000$3,553.000000$20,308.000000$11,467.000000$27,303.000000$27.3k1,2791,103$-24,009.000000$-25,663.000000$-24,009.000000$24.0k$24,009.000000$12,162.000000$25,663.000000$12,374.000000$36,171.000000$36.2k3,5383,167
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Montana and State House District 33
State House District 33
Montana
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.025022%83.530859%88.025022%88.0%98578.867484%73.771027%78.867484%78.9%1,35170.604396%69.919636%70.604396%70.6%1,02842.711864%49.951278%42.711864%42.7%126
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Montana and State House District 33
Female Male
Montana
State House District 33
Shaded bar tips show excess over facing bar.
10%0%10%20%30%40%MFWhite1BlackHispanic2Other1-7.852412%-5.800099%-7.852412%7.9%7.852412%3.066731%5.800099%0.995657%10.919143%10.9%316249-0.000000%-13.693901%-0.308741%0.000000%0.0%0.000000%0.000000%13.693901%0.000000%0.0%00-0.000000%-13.308577%0.000000%0.0%0.000000%42.222222%13.308577%4.848637%42.222222%42.2%190-8.536585%-9.128085%-14.488237%-17.664671%17.7%8.536585%14.488237%0.831882%8.536585%8.5%2159
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Montana and State House District 33
Female Male
Montana
State House District 33
Shaded bar tips show excess over facing bar.
40%20%0%20%MFWhite1BlackHispanic2Other1-19.488597%-3.311781%-30.601533%-1.313878%-22.800378%22.8%19.488597%30.601533%19.488597%19.5%564723-0.000000%-23.993096%-9.428305%0.000000%0.0%0.000000%0.000000%23.993096%0.000000%0.0%00-0.000000%-43.333333%-15.415392%-4.505547%-43.333333%43.3%0.000000%15.415392%0.000000%0.0%013-20.059880%-12.670438%-4.356661%-20.059880%20.1%20.059880%0.265323%12.670438%20.325203%20.3%5067
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County in State House District 33

Coarse: Post-Secondary Degree Educational Attainment by County#15

Percentage of the population 25 years and older with given highest level of educational attainment
26.2%28.1%30.0%31.9%33.8%35.7%

Coarse: High School Diploma Educational Attainment by County#16

Percentage of the population 25 years and older with given highest level of educational attainment
54.8%56.9%58.9%61.0%63.0%65.1%

Coarse: No High School Diploma Educational Attainment by County#17

Percentage of the population 25 years and older with given highest level of educational attainment
6.5%7.4%8.2%9.0%9.8%10.6%

Detailed: Doctorate Degree Educational Attainment by County#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.20%0.41%0.61%0.82%1.02%

Detailed: Professional Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.29%0.39%0.47%0.56%0.65%0.74%

Detailed: Master's Degree Educational Attainment by County#20

Percentage of the population 25 years and older with given highest level of educational attainment
3.34%3.60%3.86%4.11%4.37%4.63%

Detailed: Bachelor's Degree Educational Attainment by County#21

Percentage of the population 25 years and older with given highest level of educational attainment
13.6%14.4%15.1%15.8%16.5%17.3%

Detailed: Associate's Degree Educational Attainment by County#22

Percentage of the population 25 years and older with given highest level of educational attainment
8.8%9.5%10.2%10.8%11.5%12.2%

Detailed: Some College Educational Attainment by County#23

Percentage of the population 25 years and older with given highest level of educational attainment
24.6%25.5%26.4%27.3%28.2%29.2%

Detailed: High School Diploma or Equivalent Educational Attainment by County#24

Percentage of the population 25 years and older with given highest level of educational attainment
28.6%31.0%33.3%35.7%38.1%40.5%

Detailed: Some High School Educational Attainment by County#25

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%5.0%5.6%6.2%6.7%7.4%

Detailed: Less than High School Educational Attainment by County#26

Percentage of the population 25 years and older with given highest level of educational attainment
1.5%2.0%2.6%3.1%3.6%4.2%

Detailed: None Educational Attainment by County#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.23%0.30%0.36%0.42%0.48%0.55%
Road Data ©OpenStreetMap

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Map of Educational Attainment by County Subdivision in State House District 33

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
21%28%35%41%48%55%

Coarse: High School Diploma Educational Attainment by County Subdivision#29

Percentage of the population 25 years and older with given highest level of educational attainment
41%49%56%63%70%78%

Coarse: No High School Diploma Educational Attainment by County Subdivision#30

Percentage of the population 25 years and older with given highest level of educational attainment
1.8%4.9%7.9%11.0%14.0%17.1%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#31

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.4%2.1%2.9%3.6%

Detailed: Professional Degree Educational Attainment by County Subdivision#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.24%0.47%0.71%0.94%1.19%

Detailed: Master's Degree Educational Attainment by County Subdivision#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.1%3.1%4.2%5.3%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#34

Percentage of the population 25 years and older with given highest level of educational attainment
11.7%16.2%20.6%25.0%29.5%34.0%

Detailed: Associate's Degree Educational Attainment by County Subdivision#35

Percentage of the population 25 years and older with given highest level of educational attainment
4.5%6.8%9.1%11.3%13.6%15.9%

Detailed: Some College Educational Attainment by County Subdivision#36

Percentage of the population 25 years and older with given highest level of educational attainment
16%22%28%34%40%46%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#37

Percentage of the population 25 years and older with given highest level of educational attainment
24.8%28.3%31.8%35.2%38.7%42.2%

Detailed: Some High School Educational Attainment by County Subdivision#38

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%2.0%3.3%4.6%5.9%7.3%

Detailed: Less than High School Educational Attainment by County Subdivision#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%3.2%6.2%9.2%12.2%15.2%

Detailed: None Educational Attainment by County Subdivision#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.19%0.37%0.56%0.75%0.94%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in State House District 33

Coarse: Post-Secondary Degree Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
26.2%28.4%30.7%32.9%35.2%37.5%

Coarse: High School Diploma Educational Attainment by Tract#42

Percentage of the population 25 years and older with given highest level of educational attainment
53.2%55.6%58.0%60.3%62.7%65.1%

Coarse: No High School Diploma Educational Attainment by Tract#43

Percentage of the population 25 years and older with given highest level of educational attainment
3.0%4.5%6.0%7.5%9.0%10.6%

Detailed: Doctorate Degree Educational Attainment by Tract#44

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.26%0.52%0.78%1.03%1.30%

Detailed: Professional Degree Educational Attainment by Tract#45

Percentage of the population 25 years and older with given highest level of educational attainment
0.08%0.36%0.63%0.90%1.17%1.44%

Detailed: Master's Degree Educational Attainment by Tract#46

Percentage of the population 25 years and older with given highest level of educational attainment
3.18%3.57%3.96%4.35%4.74%5.14%

Detailed: Bachelor's Degree Educational Attainment by Tract#47

Percentage of the population 25 years and older with given highest level of educational attainment
12.1%14.4%16.7%18.9%21.1%23.4%

Detailed: Associate's Degree Educational Attainment by Tract#48

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%7.5%8.9%10.2%11.5%12.9%

Detailed: Some College Educational Attainment by Tract#49

Percentage of the population 25 years and older with given highest level of educational attainment
20.8%22.8%24.8%26.8%28.8%30.8%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#50

Percentage of the population 25 years and older with given highest level of educational attainment
25.1%28.2%31.3%34.3%37.4%40.5%

Detailed: Some High School Educational Attainment by Tract#51

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%2.7%3.6%4.6%5.5%6.6%

Detailed: Less than High School Educational Attainment by Tract#52

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%1.8%3.2%4.6%6.0%7.5%

Detailed: None Educational Attainment by Tract#53

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.19%0.37%0.56%0.75%0.94%
Road Data ©OpenStreetMap

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Educational Attainment by Place in State House District 33

There are 10 places that are fully or partially contained within State House District 33 (7 fully and 3 partially). This section compares all 10 of those to each other, State House District 33, and other entities that contain or substantially overlap with State House District 33.

No H.S. Diploma by Place#54

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State House District 33, selected places in State House District 33, and entities that contain State House District 33
0%5%10%15%20%Count#DodsonSacoWestWhitewaterUnited States of AmericaUnited StatesMountainMaltaState House District 33MT-33ChinookHavre NorthHavreGlasgowMontanaHinsdaleTurner20.000000%20.000000%20.0%18117.105263%17.105263%17.1%26214.435746%14.435746%14.4%7,178,2187.18M14.000000%14.000000%14.0%7313.020590%13.020590%13.0%27,818,38027.8M11.572881%11.572881%11.6%1,755,2861.76M11.183261%11.183261%11.2%15549.873229%9.873229%9.9%6629.677419%9.677419%9.7%7858.547009%8.547009%8.5%4067.933227%7.933227%7.9%49977.804674%7.804674%7.8%18787.105467%7.105467%7.1%49,62749.6k2.962963%2.962963%3.0%492.040816%2.040816%2.0%110
Count number of people in category
# rank of place out of 10 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#55

Percent of population 25 years of age and older with a bachelor's degree or higher..
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%30%Count#TurnerWhitewaterWestHinsdaleUnited States of AmericaUnited StatesMountainDodsonMontanaHavreHavre NorthGlasgowState House District 33MT-33MaltaChinookSaco32.653061%32.653061%32.7%16132.000000%32.000000%32.0%16231.501368%31.501368%31.5%15,664,15015.7M30.370370%30.370370%30.4%41330.315023%30.315023%30.3%64,767,78764.8M30.120223%30.120223%30.1%4,568,4054.57M30.000000%30.000000%30.0%27429.934396%29.934396%29.9%209,072209k24.642289%24.642289%24.6%1,550523.931624%23.931624%23.9%112622.120200%22.120200%22.1%530721.222968%21.222968%21.2%1,42321.067821%21.067821%21.1%292814.019851%14.019851%14.0%113912.500000%12.500000%12.5%1910
Count number of people in category
# rank of place out of 10 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#56

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 33, selected places in State House District 33, and entities that contain State House District 33
0%1%2%3%4%5%Count#HinsdaleWestUnited States of AmericaUnited StatesMountainMontanaHavreGlasgowState House District 33MT-33ChinookMaltaHavre NorthSacoDodsonWhitewaterTurner5.925926%5.925926%5.9%813.594387%3.594387%3.6%1,787,3201.79M3.336158%3.336158%3.3%7,127,6737.13M3.117008%3.117008%3.1%472,764473k3.002861%3.002861%3.0%20,97321.0k2.241653%2.241653%2.2%14121.419032%1.419032%1.4%3430.909769%0.909769%0.9%610.744417%0.744417%0.7%640.000000%0.000000%0.0%050.000000%0.000000%0.0%060.000000%0.000000%0.0%070.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%010
Count number of people in category
# rank of place out of 10 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#57

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of State House District 33, selected places in State House District 33, and entities that contain State House District 33
Female
Male
0x5x10xFM#TurnerWhitewaterMaltaSacoHinsdaleDodsonMT-33ChinookMontanaUnited StatesMountainWestHavreHavre NorthGlasgow-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.125%3.13%1-1.000000x-1.000000x4.444444x4.444444x4.44x6.250%6.25%27.778%27.8%2-1.000000x-1.000000x3.416366x3.416366x3.42x5.213%5.21%17.808%17.8%3-1.000000x-1.000000x2.250000x2.250000x2.25x10.526%10.5%23.684%23.7%4-1.000000x-1.000000x1.410714x1.410714x1.41x2.532%2.53%3.571%3.57%5-1.000000x-1.000000x1.368421x1.368421x1.37x17.308%17.3%23.684%23.7%6-1.000000x-1.000000x1.283992x1.283992x1.28x8.705%8.71%11.178%11.2%-1.000000x-1.000000x1.222489x1.222489x1.22x8.706%8.71%10.644%10.6%7-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.089296x1.089296x1.09x11.085%11.1%12.074%12.1%-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.124576x-1.124576x1.12x1.000000x1.000000x8.391%8.39%7.461%7.46%8-1.251844x-1.251844x1.25x1.000000x1.000000x9.247%9.25%7.386%7.39%9-1.942425x-1.942425x1.94x1.000000x1.000000x10.086%10.1%5.192%5.19%10
F percentage of females in category
M percentage of males in category
# rank of place out of 10 by male-to-female sex ratio

Over-Education Sex Ratio by Place#58

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of State House District 33, selected places in State House District 33, and entities that contain State House District 33
Female
Male
10x8x6x4x2x0xFM#MountainMontanaUnited StatesWestHavreGlasgowChinookMT-33Hinsdale-1.000000x-1.000000x1.667254x1.667254x1.67x2.345%2.35%3.910%3.91%-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.070589x-1.070589x1.07x1.000000x1.000000x2.317%2.32%2.164%2.16%1-1.106229x-1.106229x1.11x1.000000x1.000000x1.486%1.49%1.343%1.34%2-2.009950x-2.009950x2.01x1.000000x1.000000x0.995%1.00%0.495%0.50%3-3.005108x-3.005108x3.01x1.000000x1.000000x1.328%1.33%0.442%0.44%-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.127%10.1%0.000%0%4
F percentage of females in category
M percentage of males in category
# rank of place out of 4 by male-to-female sex ratio

Educational Attainment by County in State House District 33

There are 4 counties that are fully or partially contained within State House District 33 (0 fully and 4 partially). This section compares all 4 of those to each other, State House District 33, and other entities that contain or substantially overlap with State House District 33.

No H.S. Diploma by County#59

Percent of population 25 years of age and older without a high school diploma (or equivalent).
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%Count#WestUnited States of AmericaUnited StatesMountainBlaine CountyBlaineState House District 33MT-33Hill CountyHillPhillips CountyPhillipsMontanaValley CountyValley14.435746%14.435746%14.4%7,178,2187.18M13.020590%13.020590%13.0%27,818,38027.8M11.572881%11.572881%11.6%1,755,2861.76M10.599652%10.599652%10.6%42619.873229%9.873229%9.9%6629.502087%9.502087%9.5%97928.746156%8.746156%8.7%25637.105467%7.105467%7.1%49,62749.6k6.547842%6.547842%6.5%3494
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#60

Percent of population 25 years of age and older with a bachelor's degree or higher..
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%25%30%Count#WestUnited States of AmericaUnited StatesMountainMontanaHill CountyHillValley CountyValleyState House District 33MT-33Blaine CountyBlainePhillips CountyPhillips31.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M30.120223%30.120223%30.1%4,568,4054.57M29.934396%29.934396%29.9%209,072209k23.488304%23.488304%23.5%2,420121.500938%21.500938%21.5%1,146221.222968%21.222968%21.2%1,42319.581986%19.581986%19.6%787317.389819%17.389819%17.4%5094
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#61

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 33, selected counties in State House District 33, and entities that contain State House District 33
0%1%2%3%Count#WestUnited States of AmericaUnited StatesMountainMontanaHill CountyHillValley CountyValleyState House District 33MT-33Blaine CountyBlainePhillips CountyPhillips3.594387%3.594387%3.6%1,787,3201.79M3.336158%3.336158%3.3%7,127,6737.13M3.117008%3.117008%3.1%472,764473k3.002861%3.002861%3.0%20,97321.0k1.659711%1.659711%1.7%17111.219512%1.219512%1.2%6520.909769%0.909769%0.9%610.870863%0.870863%0.9%3530.375811%0.375811%0.4%114
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County#62

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of State House District 33, selected counties in State House District 33, and entities that contain State House District 33
Female
Male
1x0x1x2xFM#PhillipsBlaineMT-33MontanaUnited StatesMountainWestHillValley-1.000000x-1.000000x2.830353x2.830353x2.83x4.659%4.66%13.186%13.2%1-1.000000x-1.000000x1.700230x1.700230x1.70x7.925%7.93%13.474%13.5%2-1.000000x-1.000000x1.283992x1.283992x1.28x8.705%8.71%11.178%11.2%-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.089296x1.089296x1.09x11.085%11.1%12.074%12.1%-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.147373x-1.147373x1.15x1.000000x1.000000x10.146%10.1%8.843%8.84%3-1.167702x-1.167702x1.17x1.000000x1.000000x7.054%7.05%6.041%6.04%4
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Over-Education Sex Ratio by County#63

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of State House District 33, selected counties in State House District 33, and entities that contain State House District 33
Female
Male
3x2x1x0x1x2xFM#PhillipsMountainMontanaUnited StatesWestBlaineHillValleyMT-33-1.000000x-1.000000x2.896650x2.896650x2.90x0.197%0.20%0.570%0.57%1-1.000000x-1.000000x1.667254x1.667254x1.67x2.345%2.35%3.910%3.91%-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.104797x-1.104797x1.10x1.000000x1.000000x0.913%0.91%0.826%0.83%2-1.136638x-1.136638x1.14x1.000000x1.000000x1.764%1.76%1.552%1.55%3-1.407407x-1.407407x1.41x1.000000x1.000000x1.426%1.43%1.013%1.01%4-3.005108x-3.005108x3.01x1.000000x1.000000x1.328%1.33%0.442%0.44%
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Educational Attainment by County Subdivision in State House District 33

There are 10 county subdivisions that are fully or partially contained within State House District 33 (1 fully and 9 partially). This section compares all 10 of those to each other, State House District 33, and other entities that contain or substantially overlap with State House District 33.

No H.S. Diploma by County Subdivision#64

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State House District 33, selected county subdivisions in State House District 33, and entities that contain State House District 33
0%5%10%15%Count#Wild Horse LakeWild Horse LkWestUnited States of AmericaUnited StatesMountainState House District 33MT-33MaltaChinookFort Peck ReservationFort Peck Reserva…HavreHarlemGlasgowMontanaWhitewaterOpheimHinsdale17.079890%17.079890%17.1%62114.435746%14.435746%14.4%7,178,2187.18M13.020590%13.020590%13.0%27,818,38027.8M11.572881%11.572881%11.6%1,755,2861.76M9.873229%9.873229%9.9%6629.411277%9.411277%9.4%22729.106830%9.106830%9.1%15637.821229%7.821229%7.8%4247.735021%7.735021%7.7%59957.457213%7.457213%7.5%6167.432616%7.432616%7.4%27377.105467%7.105467%7.1%49,62749.6k4.724409%4.724409%4.7%1283.862661%3.862661%3.9%991.801802%1.801802%1.8%810
Count number of people in category
# rank of county subdivision out of 10 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#65

Percent of population 25 years of age and older with a bachelor's degree or higher..
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%30%Count#OpheimWestUnited States of AmericaUnited StatesMountainMontanaHarlemWild Horse LakeWild Horse LkHavreGlasgowState House District 33MT-33ChinookMaltaHinsdaleWhitewaterFort Peck ReservationFort Peck Reserva…38.626609%38.626609%38.6%90131.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M30.120223%30.120223%30.1%4,568,4054.57M29.934396%29.934396%29.9%209,072209k29.339853%29.339853%29.3%240227.823691%27.823691%27.8%101324.780475%24.780475%24.8%1,919421.753335%21.753335%21.8%799521.222968%21.222968%21.2%1,42318.563923%18.563923%18.6%318617.951907%17.951907%18.0%433716.666667%16.666667%16.7%74816.141732%16.141732%16.1%41915.456238%15.456238%15.5%8310
Count number of people in category
# rank of county subdivision out of 10 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#66

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 33, selected county subdivisions in State House District 33, and entities that contain State House District 33
0%1%2%3%Count#Wild Horse LakeWild Horse LkWestUnited States of AmericaUnited StatesMountainMontanaHavreHinsdaleGlasgowWhitewaterHarlemState House District 33MT-33ChinookOpheimMaltaFort Peck ReservationFort Peck Reserva…3.856749%3.856749%3.9%1413.594387%3.594387%3.6%1,787,3201.79M3.336158%3.336158%3.3%7,127,6737.13M3.117008%3.117008%3.1%472,764473k3.002861%3.002861%3.0%20,97321.0k1.936983%1.936983%1.9%15021.801802%1.801802%1.8%831.470188%1.470188%1.5%5441.181102%1.181102%1.2%351.100244%1.100244%1.1%960.909769%0.909769%0.9%610.817280%0.817280%0.8%1470.429185%0.429185%0.4%180.331675%0.331675%0.3%890.000000%0.000000%0.0%010
Count number of people in category
# rank of county subdivision out of 10 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#67

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of State House District 33, selected county subdivisions in State House District 33, and entities that contain State House District 33
Female
Male
1x0x1x2x3xFM#HarlemMaltaWhitewaterOpheimChinookMT-33Fort Peck ReservationFort Peck Reserva…MontanaWild Horse LkUnited StatesMountainWestHavreGlasgowHinsdale-1.000000x-1.000000x3.882179x3.882179x3.88x3.282%3.28%12.742%12.7%1-1.000000x-1.000000x3.068191x3.068191x3.07x4.716%4.72%14.470%14.5%2-1.000000x-1.000000x2.576577x2.576577x2.58x2.797%2.80%7.207%7.21%3-1.000000x-1.000000x1.584615x1.584615x1.58x2.913%2.91%4.615%4.62%4-1.000000x-1.000000x1.375694x1.375694x1.38x7.656%7.66%10.532%10.5%5-1.000000x-1.000000x1.283992x1.283992x1.28x8.705%8.71%11.178%11.2%-1.000000x-1.000000x1.179432x1.179432x1.18x7.113%7.11%8.389%8.39%6-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%-1.000000x-1.000000x1.137576x1.137576x1.14x16.080%16.1%18.293%18.3%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.089296x1.089296x1.09x11.085%11.1%12.074%12.1%-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.111950x-1.111950x1.11x1.000000x1.000000x8.138%8.14%7.319%7.32%8-1.306056x-1.306056x1.31x1.000000x1.000000x8.391%8.39%6.425%6.42%9-1.378601x-1.378601x1.38x1.000000x1.000000x2.058%2.06%1.493%1.49%10
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 10 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#68

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of State House District 33, selected county subdivisions in State House District 33, and entities that contain State House District 33
Female
Male
10x5x0x5x10xFM#MaltaChinookMountainMontanaUnited StatesWestHavreGlasgowMT-33Wild Horse LkHarlemHinsdaleWhitewaterOpheim-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.689%0.69%1-1.000000x-1.000000x1.768750x1.768750x1.77x0.589%0.59%1.042%1.04%2-1.000000x-1.000000x1.667254x1.667254x1.67x2.345%2.35%3.910%3.91%-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.059357x1.059357x1.06x1.882%1.88%1.994%1.99%3-1.102708x-1.102708x1.10x1.000000x1.000000x1.540%1.54%1.397%1.40%4-3.005108x-3.005108x3.01x1.000000x1.000000x1.328%1.33%0.442%0.44%-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.533%6.53%0.610%0.61%5-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.969%1.97%0.000%0%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.292%3.29%0.000%0%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.098%2.10%0.000%0%8-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.971%0.97%0.000%0%9
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 9 by male-to-female sex ratio

Educational Attainment by Lower State Legislative District in Montana

There are 100 lower state legislative districts in Montana. This section compares State House District 33 to all of the lower state legislative districts in Montana and to those entities that contain or substantially overlap with State House District 33.

No H.S. Diploma by Lower State Legislative District#69

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State House District 33, selected other lower state legislative districts in Montana, and entities that contain State House District 33
0%5%10%15%Count#State House District 31MT-31WestState House District 41MT-41State House District 18MT-18State House District 1MT-1State House District 23MT-23United States of AmericaUnited StatesState House District 52MT-52State House District 74MT-74State House District 42MT-42State House District 87MT-87State House District 15MT-15State House District 32MT-32MountainState House District 14MT-14State House District 27MT-27State House District 78MT-78State House District 86MT-86State House District 93MT-93State House District 92MT-92State House District 13MT-13State House District 73MT-73State House District 2MT-2State House District 77MT-77State House District 30MT-30State House District 33MT-33State House District 51MT-51State House District 49MT-49State House District 95MT-95State House District 38MT-38State House District 22MT-22State House District 16MT-16State House District 7MT-7State House District 17MT-17State House District 35MT-35State House District 12MT-12MontanaState House District 34MT-34State House District 20MT-20State House District 70MT-70State House District 53MT-53State House District 57MT-57State House District 94MT-94State House District 81MT-81State House District 8MT-8State House District 90MT-90State House District 61MT-61State House District 66MT-66State House District 63MT-63State House District 65MT-65State House District 62MT-6215.071074%15.071074%15.1%880114.435746%14.435746%14.4%7,178,2187.18M14.410403%14.410403%14.4%809213.821741%13.821741%13.8%932313.645741%13.645741%13.6%926413.025673%13.025673%13.0%827513.020590%13.020590%13.0%27,818,38027.8M12.466287%12.466287%12.5%832612.391201%12.391201%12.4%783712.108030%12.108030%12.1%668812.055253%12.055253%12.1%864911.994193%11.994193%12.0%6611011.787138%11.787138%11.8%6801111.572881%11.572881%11.6%1,755,2861.76M11.053066%11.053066%11.1%8041210.687355%10.687355%10.7%7371310.600945%10.600945%10.6%7851410.592241%10.592241%10.6%8711510.562001%10.562001%10.6%7011610.499019%10.499019%10.5%7491710.447181%10.447181%10.4%8061810.446009%10.446009%10.4%7121910.370370%10.370370%10.4%8122010.296432%10.296432%10.3%785219.936909%9.936909%9.9%693229.873229%9.873229%9.9%662239.842932%9.842932%9.8%658249.665738%9.665738%9.7%694259.602876%9.602876%9.6%561269.209195%9.209195%9.2%637279.200000%9.200000%9.2%575289.113341%9.113341%9.1%554298.603965%8.603965%8.6%612308.086727%8.086727%8.1%552367.840549%7.840549%7.8%594397.597765%7.597765%7.6%544437.105467%7.105467%7.1%49,62749.6k7.022881%7.022881%7.0%531506.409236%6.409236%6.4%483575.670927%5.670927%5.7%426645.450295%5.450295%5.5%443675.067616%5.067616%5.1%356714.647021%4.647021%4.6%287784.023252%4.023252%4.0%263853.885669%3.885669%3.9%295872.847618%2.847618%2.8%205921.988150%1.988150%2.0%151961.921904%1.921904%1.9%126971.870504%1.870504%1.9%91980.860367%0.860367%0.9%61990.487211%0.487211%0.5%32100
Count number of people in category
# rank of lower state legislative district out of 100 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Lower State Legislative District#70

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State House District 33, selected other lower state legislative districts in Montana, and entities that contain State House District 33
0%20%40%60%Count#State House District 62MT-62State House District 61MT-61State House District 91MT-91State House District 89MT-89State House District 90MT-90State House District 66MT-66State House District 46MT-46State House District 79MT-79State House District 65MT-65State House District 64MT-64State House District 5MT-5State House District 100MT-100State House District 63MT-63State House District 99MT-99State House District 53MT-53State House District 6MT-6State House District 81MT-81State House District 20MT-20State House District 68MT-68State House District 84MT-84State House District 47MT-47State House District 48MT-48State House District 97MT-97State House District 83MT-83State House District 76MT-76State House District 59MT-59State House District 82MT-82State House District 67MT-67State House District 75MT-75State House District 98MT-98State House District 60MT-60WestUnited States of AmericaUnited StatesMountainMontanaState House District 80MT-80State House District 8MT-8State House District 92MT-92State House District 87MT-87State House District 19MT-19State House District 74MT-74State House District 33MT-33State House District 73MT-73State House District 36MT-36State House District 35MT-35State House District 32MT-32State House District 15MT-15State House District 42MT-42State House District 22MT-22State House District 1MT-1State House District 31MT-3168.879415%68.879415%68.9%4,524164.213298%64.213298%64.2%4,877259.311495%59.311495%59.3%3,911357.237872%57.237872%57.2%2,926456.799555%56.799555%56.8%4,089551.891397%51.891397%51.9%3,402650.390727%50.390727%50.4%3,869747.761765%47.761765%47.8%3,745847.080395%47.080395%47.1%3,338947.064149%47.064149%47.1%3,6391046.284501%46.284501%46.3%3,4881145.798018%45.798018%45.8%3,1881245.570401%45.570401%45.6%2,2171344.479861%44.479861%44.5%3,0701442.691929%42.691929%42.7%3,4701540.929074%40.929074%40.9%2,7931640.752639%40.752639%40.8%2,6641739.344480%39.344480%39.3%2,9651838.684173%38.684173%38.7%2,7401938.591509%38.591509%38.6%2,7182038.486688%38.486688%38.5%2,4722137.987589%37.987589%38.0%2,5712237.298585%37.298585%37.3%2,6622336.642044%36.642044%36.6%2,3812435.784574%35.784574%35.8%2,6912535.255145%35.255145%35.3%2,5012634.628511%34.628511%34.6%2,6382734.595163%34.595163%34.6%2,3032834.393023%34.393023%34.4%2,4452934.352352%34.352352%34.4%2,6073032.623258%32.623258%32.6%2,4353631.501368%31.501368%31.5%15,664,15015.7M30.315023%30.315023%30.3%64,767,78764.8M30.120223%30.120223%30.1%4,568,4054.57M29.934396%29.934396%29.9%209,072209k29.035783%29.035783%29.0%2,1264327.199684%27.199684%27.2%2,0654727.095599%27.095599%27.1%1,9335025.324404%25.324404%25.3%1,8155723.245733%23.245733%23.2%1,7166421.775597%21.775597%21.8%1,3767121.222968%21.222968%21.2%1,4237520.349178%20.349178%20.3%1,3877819.045028%19.045028%19.0%1,4008518.413411%18.413411%18.4%1,3958717.368695%17.368695%17.4%1,0029216.349120%16.349120%16.3%9019616.258836%16.258836%16.3%8979715.808000%15.808000%15.8%9889815.738285%15.738285%15.7%1,0689912.776160%12.776160%12.8%746100
Count number of people in category
# rank of lower state legislative district out of 100 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Lower State Legislative District#71

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 33, selected other lower state legislative districts in Montana, and entities that contain State House District 33
0%5%10%Count#State House District 62MT-62State House District 91MT-91State House District 61MT-61State House District 89MT-89State House District 90MT-90State House District 46MT-46State House District 5MT-5State House District 79MT-79State House District 6MT-6State House District 65MT-65State House District 53MT-53State House District 99MT-99State House District 94MT-94State House District 81MT-81State House District 96MT-96State House District 100MT-100State House District 64MT-64State House District 12MT-12State House District 20MT-20State House District 76MT-76State House District 11MT-11State House District 48MT-48State House District 97MT-97State House District 72MT-72State House District 83MT-83State House District 10MT-10State House District 63MT-63State House District 59MT-59State House District 85MT-85State House District 47MT-47WestUnited States of AmericaUnited StatesState House District 56MT-56MountainMontanaState House District 92MT-92State House District 17MT-17State House District 3MT-3State House District 37MT-37State House District 8MT-8State House District 86MT-86State House District 80MT-80State House District 35MT-35State House District 34MT-34State House District 33MT-33State House District 30MT-30State House District 51MT-51State House District 55MT-55State House District 1MT-1State House District 31MT-31State House District 22MT-2212.500000%12.500000%12.5%821111.768274%11.768274%11.8%776210.757077%10.757077%10.8%817310.309077%10.309077%10.3%52749.209612%9.209612%9.2%66358.335504%8.335504%8.3%64067.112527%7.112527%7.1%53676.784849%6.784849%6.8%53286.374560%6.374560%6.4%43595.331453%5.331453%5.3%378105.314961%5.314961%5.3%432115.085482%5.085482%5.1%351125.068005%5.068005%5.1%313134.665749%4.665749%4.7%305144.624436%4.624436%4.6%338154.553943%4.553943%4.6%317164.513709%4.513709%4.5%349174.441341%4.441341%4.4%318184.432059%4.432059%4.4%334194.348404%4.348404%4.3%327204.294052%4.294052%4.3%309214.284870%4.284870%4.3%290224.133389%4.133389%4.1%295234.122379%4.122379%4.1%287244.078178%4.078178%4.1%265253.980344%3.980344%4.0%324263.946557%3.946557%3.9%192273.904708%3.904708%3.9%277283.801969%3.801969%3.8%278293.643157%3.643157%3.6%234303.594387%3.594387%3.6%1,787,3201.79M3.336158%3.336158%3.3%7,127,6737.13M3.193418%3.193418%3.2%229363.117008%3.117008%3.1%472,764473k3.002861%3.002861%3.0%20,97321.0k2.495094%2.495094%2.5%178432.226780%2.226780%2.2%152502.042473%2.042473%2.0%151571.784741%1.784741%1.8%131641.593783%1.593783%1.6%121701.544448%1.544448%1.5%127711.297460%1.297460%1.3%95781.029567%1.029567%1.0%78841.005158%1.005158%1.0%76850.909769%0.909769%0.9%61880.845999%0.845999%0.8%59920.598355%0.598355%0.6%40960.583381%0.583381%0.6%41970.515768%0.515768%0.5%35980.428156%0.428156%0.4%25990.384000%0.384000%0.4%24100
Count number of people in category
# rank of lower state legislative district out of 100 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Lower State Legislative District#72

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of State House District 33, selected other lower state legislative districts in Montana, and entities that contain State House District 33
Female
Male
4x2x0x2xFM#MT-79MT-5MT-40MT-96MT-70MT-14MT-20MT-37MT-45MT-13MT-61MT-57MT-84MT-83MT-12MT-88MT-4MT-82MT-53MT-75MT-68MT-59MT-87MT-48MT-1MT-71MT-19MT-50MT-34MT-81MT-35MT-16MT-33MT-80MT-8MontanaMT-86United StatesMountainMT-10WestMT-39MT-49MT-54MT-65MT-95MT-29MT-91MT-90MT-46MT-63-1.000000x-1.000000x3.475600x3.475600x3.48x1.852%1.85%6.436%6.44%1-1.000000x-1.000000x2.413255x2.413255x2.41x2.557%2.56%6.172%6.17%2-1.000000x-1.000000x2.401430x2.401430x2.40x4.405%4.40%10.578%10.6%3-1.000000x-1.000000x2.278021x2.278021x2.28x3.828%3.83%8.720%8.72%4-1.000000x-1.000000x2.225426x2.225426x2.23x3.465%3.46%7.710%7.71%5-1.000000x-1.000000x1.915595x1.915595x1.92x7.511%7.51%14.389%14.4%6-1.000000x-1.000000x1.914713x1.914713x1.91x4.400%4.40%8.424%8.42%7-1.000000x-1.000000x1.766287x1.766287x1.77x4.432%4.43%7.828%7.83%8-1.000000x-1.000000x1.757422x1.757422x1.76x2.775%2.78%4.877%4.88%9-1.000000x-1.000000x1.756062x1.756062x1.76x7.540%7.54%13.240%13.2%10-1.000000x-1.000000x1.746810x1.746810x1.75x1.465%1.46%2.558%2.56%11-1.000000x-1.000000x1.720245x1.720245x1.72x3.721%3.72%6.400%6.40%12-1.000000x-1.000000x1.703546x1.703546x1.70x3.064%3.06%5.220%5.22%13-1.000000x-1.000000x1.691175x1.691175x1.69x4.935%4.94%8.346%8.35%14-1.000000x-1.000000x1.675287x1.675287x1.68x5.746%5.75%9.626%9.63%15-1.000000x-1.000000x1.645388x1.645388x1.65x3.856%3.86%6.345%6.35%16-1.000000x-1.000000x1.633254x1.633254x1.63x6.115%6.12%9.988%9.99%17-1.000000x-1.000000x1.629140x1.629140x1.63x4.309%4.31%7.020%7.02%18-1.000000x-1.000000x1.617220x1.617220x1.62x4.178%4.18%6.756%6.76%19-1.000000x-1.000000x1.583905x1.583905x1.58x4.330%4.33%6.859%6.86%20-1.000000x-1.000000x1.581829x1.581829x1.58x2.659%2.66%4.207%4.21%21-1.000000x-1.000000x1.533417x1.533417x1.53x3.737%3.74%5.731%5.73%22-1.000000x-1.000000x1.495000x1.495000x1.50x9.634%9.63%14.404%14.4%23-1.000000x-1.000000x1.490570x1.490570x1.49x3.300%3.30%4.919%4.92%24-1.000000x-1.000000x1.487436x1.487436x1.49x11.038%11.0%16.418%16.4%25-1.000000x-1.000000x1.466173x1.466173x1.47x3.634%3.63%5.327%5.33%26-1.000000x-1.000000x1.458745x1.458745x1.46x6.756%6.76%9.856%9.86%27-1.000000x-1.000000x1.446354x1.446354x1.45x6.192%6.19%8.956%8.96%28-1.000000x-1.000000x1.441492x1.441492x1.44x5.739%5.74%8.272%8.27%29-1.000000x-1.000000x1.435885x1.435885x1.44x3.317%3.32%4.763%4.76%30-1.000000x-1.000000x1.337822x1.337822x1.34x6.674%6.67%8.929%8.93%35-1.000000x-1.000000x1.331068x1.331068x1.33x7.837%7.84%10.431%10.4%36-1.000000x-1.000000x1.283992x1.283992x1.28x8.705%8.71%11.178%11.2%38-1.000000x-1.000000x1.220974x1.220974x1.22x6.427%6.43%7.847%7.85%43-1.000000x-1.000000x1.154088x1.154088x1.15x3.632%3.63%4.192%4.19%50-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%-1.000000x-1.000000x1.116539x1.116539x1.12x10.041%10.0%11.212%11.2%57-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.089296x1.089296x1.09x11.085%11.1%12.074%12.1%-1.000000x-1.000000x1.059217x1.059217x1.06x4.634%4.63%4.908%4.91%64-1.000000x-1.000000x1.053669x1.053669x1.05x14.065%14.1%14.820%14.8%-1.033223x-1.033223x1.03x1.000000x1.000000x8.426%8.43%8.155%8.15%71-1.150356x-1.150356x1.15x1.000000x1.000000x10.323%10.3%8.974%8.97%78-1.233001x-1.233001x1.23x1.000000x1.000000x5.077%5.08%4.118%4.12%85-1.302447x-1.302447x1.30x1.000000x1.000000x0.980%0.98%0.752%0.75%89-1.569109x-1.569109x1.57x1.000000x1.000000x11.678%11.7%7.442%7.44%92-2.519284x-2.519284x2.52x1.000000x1.000000x9.534%9.53%3.785%3.78%96-2.874935x-2.874935x2.87x1.000000x1.000000x4.314%4.31%1.501%1.50%97-3.055531x-3.055531x3.06x1.000000x1.000000x4.218%4.22%1.381%1.38%98-3.535804x-3.535804x3.54x1.000000x1.000000x5.881%5.88%1.663%1.66%99-5.121009x-5.121009x5.12x1.000000x1.000000x3.480%3.48%0.680%0.68%100
F percentage of females in category
M percentage of males in category
# rank of lower state legislative district out of 100 by male-to-female sex ratio

Over-Education Sex Ratio by Lower State Legislative District#73

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of State House District 33, selected other lower state legislative districts in Montana, and entities that contain State House District 33
Female
Male
10x5x0x5x10xFM#MT-51MT-1MT-16MT-14MT-74MT-23MT-89MT-52MT-10MT-43MT-88MT-44MT-7MT-59MT-70MT-42MT-17MT-4MT-21MT-69MT-82MT-30MT-25MT-5MT-94MT-45MT-71MT-62MT-54MT-13MT-9MT-65MT-76MountainMT-48MontanaUnited StatesWestMT-8MT-53MT-66MT-87MT-27MT-19MT-58MT-39MT-35MT-33MT-60MT-22-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.195%1.20%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.064%1.06%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.162%0.16%2.207%2.21%3-1.000000x-1.000000x9.562939x9.562939x9.56x0.368%0.37%3.524%3.52%4-1.000000x-1.000000x9.415474x9.415474x9.42x0.249%0.25%2.347%2.35%5-1.000000x-1.000000x5.692829x5.692829x5.69x0.282%0.28%1.605%1.61%6-1.000000x-1.000000x4.274699x4.274699x4.27x3.835%3.84%16.395%16.4%7-1.000000x-1.000000x4.101973x4.101973x4.10x0.237%0.24%0.971%0.97%8-1.000000x-1.000000x3.883273x3.883273x3.88x1.663%1.66%6.460%6.46%9-1.000000x-1.000000x3.455215x3.455215x3.46x0.812%0.81%2.807%2.81%10-1.000000x-1.000000x3.442601x3.442601x3.44x0.612%0.61%2.106%2.11%11-1.000000x-1.000000x3.353927x3.353927x3.35x0.794%0.79%2.662%2.66%12-1.000000x-1.000000x3.250599x3.250599x3.25x1.299%1.30%4.222%4.22%13-1.000000x-1.000000x3.175033x3.175033x3.18x1.896%1.90%6.020%6.02%14-1.000000x-1.000000x3.096004x3.096004x3.10x0.554%0.55%1.716%1.72%15-1.000000x-1.000000x3.023153x3.023153x3.02x0.963%0.96%2.912%2.91%16-1.000000x-1.000000x3.011706x3.011706x3.01x1.121%1.12%3.376%3.38%17-1.000000x-1.000000x2.928376x2.928376x2.93x0.967%0.97%2.832%2.83%18-1.000000x-1.000000x2.861086x2.861086x2.86x0.908%0.91%2.599%2.60%19-1.000000x-1.000000x2.792096x2.792096x2.79x1.424%1.42%3.975%3.97%20-1.000000x-1.000000x2.587026x2.587026x2.59x1.959%1.96%5.067%5.07%21-1.000000x-1.000000x2.546850x2.546850x2.55x0.480%0.48%1.223%1.22%22-1.000000x-1.000000x2.535481x2.535481x2.54x1.326%1.33%3.363%3.36%23-1.000000x-1.000000x2.490900x2.490900x2.49x4.086%4.09%10.179%10.2%24-1.000000x-1.000000x2.449683x2.449683x2.45x2.883%2.88%7.063%7.06%25-1.000000x-1.000000x2.244774x2.244774x2.24x1.538%1.54%3.453%3.45%26-1.000000x-1.000000x2.243230x2.243230x2.24x1.350%1.35%3.027%3.03%27-1.000000x-1.000000x2.219753x2.219753x2.22x7.823%7.82%17.366%17.4%28-1.000000x-1.000000x2.190122x2.190122x2.19x1.791%1.79%3.922%3.92%29-1.000000x-1.000000x2.177382x2.177382x2.18x0.794%0.79%1.728%1.73%30-1.000000x-1.000000x2.008100x2.008100x2.01x0.936%0.94%1.880%1.88%36-1.000000x-1.000000x1.969466x1.969466x1.97x3.533%3.53%6.959%6.96%37-1.000000x-1.000000x1.777873x1.777873x1.78x3.167%3.17%5.631%5.63%43-1.000000x-1.000000x1.667254x1.667254x1.67x2.345%2.35%3.910%3.91%-1.000000x-1.000000x1.587093x1.587093x1.59x3.356%3.36%5.326%5.33%50-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.478410x1.478410x1.48x2.911%2.91%4.304%4.30%-1.000000x-1.000000x1.452227x1.452227x1.45x1.323%1.32%1.921%1.92%56-1.000000x-1.000000x1.450760x1.450760x1.45x4.348%4.35%6.308%6.31%57-1.000000x-1.000000x1.272029x1.272029x1.27x2.924%2.92%3.719%3.72%64-1.000000x-1.000000x1.094758x1.094758x1.09x1.984%1.98%2.172%2.17%71-1.088361x-1.088361x1.09x1.000000x1.000000x0.907%0.91%0.834%0.83%78-1.216324x-1.216324x1.22x1.000000x1.000000x1.626%1.63%1.337%1.34%85-1.531512x-1.531512x1.53x1.000000x1.000000x3.559%3.56%2.324%2.32%92-2.500000x-2.500000x2.50x1.000000x1.000000x1.084%1.08%0.433%0.43%96-2.563981x-2.563981x2.56x1.000000x1.000000x1.504%1.50%0.587%0.59%97-3.005108x-3.005108x3.01x1.000000x1.000000x1.328%1.33%0.442%0.44%98-4.489813x-4.489813x4.49x1.000000x1.000000x3.627%3.63%0.808%0.81%99-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.765%0.76%0.000%0%100
F percentage of females in category
M percentage of males in category
# rank of lower state legislative district out of 100 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

For additional information about the data presented on this site, including our sources, please see the About Page.

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Demographics

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More Maps to Explore

State:
Montana
Counties:
Blaine, Hill, Phillips, Valley
Cities:
Chinook, Glasgow, Havre, Malta
Towns:
Dodson, Saco
Unincorporated Places:
Havre North, Hinsdale, Turner, Whitewater
Congressional District:
MT-At Large
State Senate District:
MT-17
Unified School Districts:
Dodson K-12, Glasgow K-12, Malta K-12, Opheim K-12, Whitewater K-12
Elementary School Districts:
Chinook, Cottonwood, Davey, Harlem, Havre, Hinsdale, North Harlem Colony, North Star, Saco, Turner, Zurich
Secondary School Districts:
Chinook, Harlem, Havre, Hinsdale, North Star, Saco, Turner
ZIP Codes:
59230, 59241, 59244, 59250, 59261, 59501, 59523, 59524, 59526, 59529, 59537, 59538, 59542, 59544, 59547
Neighboring State House Districts:
MT-27, MT-28, MT-31, MT-32, MT-34