Exploration digest for the survey stack behind book/race.md (Task 144).
Grouped by topic; within each variable: question → time series → cohort trajectories → cohort component → period component with time-series overlay.
Coding: natural-answer y=1 (agree / favor / yes / object / likely); first-named side of two-sided scales (racopen, VCF0819, helpblk, VCF0830, VCF9037, VCF0817); more spending (natrace, natracey, VCF9050); VCF0813 some or a lot; too little influence (VCF9274, VCF9275); too slowly (VCF0814). Thermometers are neutral to warm (50–97). The Stouffer racist-speaker items keep the restrictive answer, to track intolerance of racism. affrmact is favor (was oppose); racpres is would vote (was would not). Stereotype items are derived: workblk_rel, intlblk_rel, wlthblk_rel, VCF9271_rel = 1 if Black people are rated below White people on the same 7-point scale. Segregation: opposite-race items are fit on non-Black respondents; rachaf_cum / racmost_cum make the school ladder cumulative; racclos_all counts no Black neighbors as none close (1972–1993). Feelings add composed figures by respondent race (ANES race: White and Black are non-Hispanic; Other includes Hispanic). Fits that failed their sampling gates were refit at draws 12000 and pass, except VCF0814 model10 (R-hat 1.022, ESS 212 on the period parameters; 3.8% divergent): its cohort and period components are provisional.
Full metadata: notebooks/utils.py.
Figure stems (Task 95 nested): figs/{gss|anes}/{var}/time_model.png, model10_cohort_trajectories.png, model10_cohort_standardized.png, model10_period_standardized[_time_series].png.
Layout template (Task 130 / 148): topic H2 → per-variable H3 with question + four figures. Regenerate with
python scripts/gen_chapter_results_md.py race.
Segregation — schools: should¶
racfew — Would you object to a school where a few of the children are Black?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Would you yourself have any objection to sending your children to a school where a few of the children are Black?
Time series
Figure 1:Time series for racfew
Cohort trajectories
Figure 2:Cohort trajectories for racfew
Cohort component
Figure 3:Cohort component for racfew
Period component (with time series)
Figure 4:Period component and time series for racfew
rachaf_cum — Would you object to a school where half of the children are Black?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Derived from racfew and rachaf: 1 if the respondent would object to a school where half of the children are Black (or already objected to a few); rachaf is asked only of those with no objection to racfew.
Time series
Figure 5:Time series for rachaf_cum
Cohort trajectories
Figure 6:Cohort trajectories for rachaf_cum
Cohort component
Figure 7:Cohort component for rachaf_cum
Period component (with time series)
Figure 8:Period component and time series for rachaf_cum
racmost_cum — Would you object to a school where most of the children are Black?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Derived from the racfew / rachaf / racmost ladder: 1 if the respondent would object to a school where more than half of the children are Black (or objected at an earlier step).
Time series
Figure 9:Time series for racmost_cum
Cohort trajectories
Figure 10:Cohort trajectories for racmost_cum
Cohort component
Figure 11:Cohort component for racmost_cum
Period component (with time series)
Figure 12:Period component and time series for racmost_cum
busing — Do you favor busing Black and White children between school districts?¶
Selected (y=1): [1] — Percent saying yes
Question
In general, do you favor or oppose the busing of Black and white school children from one school district to another?
Time series
Figure 13:Time series for busing
Cohort trajectories
Figure 14:Cohort trajectories for busing
Cohort component
Figure 15:Cohort component for busing
Period component (with time series)
Figure 16:Period component and time series for busing
VCF0816 — Should the government see that White and Black children go to the same schools?¶
Selected (y=1): [1] — Percent saying yes
Question
Should the government in Washington see to it that white and Black children go to the same schools, or should it stay out of this area as it is not its business?
Time series
Figure 17:Time series for VCF0816
Cohort trajectories
Figure 18:Cohort trajectories for VCF0816
Cohort component
Figure 19:Cohort component for VCF0816
Period component (with time series)
Figure 20:Period component and time series for VCF0816
VCF0817 — Bus children to achieve integration?¶
Selected (y=1): [1, 2, 3] — Percent saying yes
Question
Some people think achieving racial integration of schools is so important that it justifies busing children to schools out of their own neighborhoods. Others think letting children go to their neighborhood schools is so important that they oppose busing.
Time series
Figure 21:Time series for VCF0817
Cohort trajectories
Figure 22:Cohort trajectories for VCF0817
Cohort component
Figure 23:Cohort component for VCF0817
Period component (with time series)
Figure 24:Period component and time series for VCF0817
racschol — Should White and Black students go to the same schools?¶
Selected (y=1): [1] — Percent saying yes
Question
Do you think white students and Black students should go to the same schools or to separate schools?
Time series
Figure 25:Time series for racschol
Cohort trajectories
Figure 26:Cohort trajectories for racschol
Cohort component
Figure 27:Cohort component for racschol
Period component (with time series)
Figure 28:Period component and time series for racschol
Segregation — housing: should¶
racopen — Should laws support open housing?¶
Selected (y=1): [2] — Percent saying yes
Question
There are two possible laws to vote on. Which law would you vote for? (A) One law says that a homeowner can decide for himself whom to sell his house to, even if he prefers not to sell to someone because of their race or color (B) The second law says that a homeowner cannot refuse to sell to someone because of their race or color
Time series
Figure 29:Time series for racopen
Cohort trajectories
Figure 30:Cohort trajectories for racopen
Cohort component
Figure 31:Cohort component for racopen
Period component (with time series)
Figure 32:Period component and time series for racopen
racseg — White people can keep Blacks out of their neighborhoods?¶
Selected (y=1): [1, 2] — Percent agreeing
Question
Do you agree or disagree with the following statement: White people have a right to keep African-Americans out of their neighborhoods if they want to, and African-Americans should respect that right.
Time series
Figure 33:Time series for racseg
Cohort trajectories
Figure 34:Cohort trajectories for racseg
Cohort component
Figure 35:Cohort component for racseg
Period component (with time series)
Figure 36:Period component and time series for racseg
racpush — Blacks shouldn’t push where not wanted?¶
Selected (y=1): [1, 2] — Percent agreeing
Question
Do you agree or disagree with the following statement: African-Americans shouldn’t push themselves where they’re not wanted.
Time series
Figure 37:Time series for racpush
Cohort trajectories
Figure 38:Cohort trajectories for racpush
Cohort component
Figure 39:Cohort component for racpush
Period component (with time series)
Figure 40:Period component and time series for racpush
VCF0819 — Whites can keep Black people out of their neighborhoods?¶
Selected (y=1): [1] — Percent saying yes
Question
Which of these statements would you agree with: White people have a right to keep Black people out of their neighborhoods if they want to, or Black people have a right to live wherever they can afford to?
Time series
Figure 41:Time series for VCF0819
Cohort trajectories
Figure 42:Cohort trajectories for VCF0819
Cohort component
Figure 43:Cohort component for VCF0819
Period component (with time series)
Figure 44:Period component and time series for VCF0819
VCF0815 — Are you in favor of desegregation?¶
Selected (y=1): [1] — Percent saying yes
Question
Are you in favor of desegregation, strict segregation, or something in between?
Time series
Figure 45:Time series for VCF0815
Cohort trajectories
Figure 46:Cohort trajectories for VCF0815
Cohort component
Figure 47:Cohort component for VCF0815
Period component (with time series)
Figure 48:Period component and time series for VCF0815
Segregation — housing: would you live there?¶
liveblks — Would you favor living where half of your neighbors are Black?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
Would you be very much in favor, somewhat in favor, neither in favor nor opposed, somewhat opposed, or very opposed to living in a neighborhood where half of your neighbors were Black?
Time series
Figure 49:Time series for liveblks
Cohort trajectories
Figure 50:Cohort trajectories for liveblks
Cohort component
Figure 51:Cohort component for liveblks
Period component (with time series)
Figure 52:Period component and time series for liveblks
Segregation — is: how segregated are people’s lives?¶
raclive — Are there Black people living in your neighborhood?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Are there any Black people living in this neighborhood now?
Time series
Figure 53:Time series for raclive
Cohort trajectories
Figure 54:Cohort trajectories for raclive
Cohort component
Figure 55:Cohort component for raclive
Period component (with time series)
Figure 56:Period component and time series for raclive
racclos_all — Does a Black family live close to you?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Derived from raclive and racclos: 1 if a Black family lives close to the respondent; 0 if there are no Black people in the neighborhood or none close. Years racclos was asked (1972–1994).
Time series
Figure 57:Time series for racclos_all
Cohort trajectories
Figure 58:Cohort trajectories for racclos_all
Cohort component
Figure 59:Cohort component for racclos_all
Period component (with time series)
Figure 60:Period component and time series for racclos_all
racchurh — Do Black people attend your church?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Do Black people attend the church that you, yourself, attend most often, or not? (Respondents with no church excluded.)
Time series
Figure 61:Time series for racchurh
Cohort trajectories
Figure 62:Cohort trajectories for racchurh
Cohort component
Figure 63:Cohort component for racchurh
Period component (with time series)
Figure 64:Period component and time series for racchurh
racwork — Are the people where you work all White?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Are the people who work where you work all white, mostly white, about half and half, mostly Black, or all Black?
Time series
Figure 65:Time series for racwork
Cohort trajectories
Figure 66:Cohort trajectories for racwork
Cohort component
Figure 67:Cohort component for racwork
Period component (with time series)
Figure 68:Period component and time series for racwork
VCF0860 — Do you live in an all-white neighborhood?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Is this neighborhood you now live in all white, mostly white, about half and half, mostly Black, or all Black?
Time series
Figure 69:Time series for VCF0860
Cohort trajectories
Figure 70:Cohort trajectories for VCF0860
Cohort component
Figure 71:Cohort component for VCF0860
Period component (with time series)
Figure 72:Period component and time series for VCF0860
VCF0861 — Is the nearest grade school all-white?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Is the grade school nearest you all white, mostly white, about half and half, mostly Black, or all Black?
Time series
Figure 73:Time series for VCF0861
Cohort trajectories
Figure 74:Cohort trajectories for VCF0861
Cohort component
Figure 75:Cohort component for VCF0861
Period component (with time series)
Figure 76:Period component and time series for VCF0861
VCF0863 — Is the nearest high school all-white?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
Is the high school nearest you all white, mostly white, about half and half, mostly Black, or all Black?
Time series
Figure 77:Time series for VCF0863
Cohort trajectories
Figure 78:Cohort trajectories for VCF0863
Cohort component
Figure 79:Cohort component for VCF0863
Period component (with time series)
Figure 80:Period component and time series for VCF0863
Segregation — social distance¶
rachome — Has anyone in your family brought a Black friend home for dinner?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
During the last few years, has anyone in your family brought a friend who was Black home for dinner?
Time series
Figure 81:Time series for rachome
Cohort trajectories
Figure 82:Cohort trajectories for rachome
Cohort component
Figure 83:Cohort component for rachome
Period component (with time series)
Figure 84:Period component and time series for rachome
racdin — Would you object to a family member bringing a Black friend to dinner?¶
Selected (y=1): [1, 2] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
How strongly would you object if a member of your family wanted to bring a Black friend home to dinner? Would you object strongly, mildly, or not at all?
Time series
Figure 85:Time series for racdin
Cohort trajectories
Figure 86:Cohort trajectories for racdin
Cohort component
Figure 87:Cohort component for racdin
Period component (with time series)
Figure 88:Period component and time series for racdin
marblk — Would you favor a close relative marrying a Black person?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
What about having a close relative marry a Black person? Would you be very in favor of it happening, somewhat in favor, neither in favor nor opposed to it happening, somewhat opposed, or very opposed?
Time series
Figure 89:Time series for marblk
Cohort trajectories
Figure 90:Cohort trajectories for marblk
Cohort component
Figure 91:Cohort component for marblk
Period component (with time series)
Figure 92:Period component and time series for marblk
racmar — Should laws ban interracial marriage?¶
Selected (y=1): [1] — Percent saying yes
Question
Do you think there should be laws against marriages between African-Americans and whites?
Time series
Figure 93:Time series for racmar
Cohort trajectories
Figure 94:Cohort trajectories for racmar
Cohort component
Figure 95:Cohort component for racmar
Period component (with time series)
Figure 96:Period component and time series for racmar
racchng — Would you try to change the rules of a club that excluded Black people?¶
Selected (y=1): [1] — Percent saying yes
Universe: Non-Black respondents (race 1, 3); Black respondents are asked about White people
Question
If you and your friends belonged to a social club that would not let Black people join, would you try to change the rules so that Black people could join?
Time series
Figure 97:Time series for racchng
Cohort trajectories
Figure 98:Cohort trajectories for racchng
Cohort component
Figure 99:Cohort component for racchng
Period component (with time series)
Figure 100:Period component and time series for racchng
Hypothetical workplace — affirmative action¶
affrmact — Should Black people get preference in hiring/promotion?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
Some people say that because of past discrimination, Black people should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of Black people is wrong because it discriminates against whites. What about your opinion -- are you for or against preferential hiring and promotion of Black people?
Time series
Figure 101:Time series for affrmact
Cohort trajectories
Figure 102:Cohort trajectories for affrmact
Cohort component
Figure 103:Cohort component for affrmact
Period component (with time series)
Figure 104:Period component and time series for affrmact
VCF0867a — Should Black people get preference in hiring/promotion?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
Some people say that because of past discrimination blacks should be given preference in hiring and promotion. Others say that such preference is wrong because it gives blacks advantages they haven’t earned. Are you for or against preferential hiring and promotion of blacks?
Time series
Figure 105:Time series for VCF0867a
Cohort trajectories
Figure 106:Cohort trajectories for VCF0867a
Cohort component
Figure 107:Cohort component for VCF0867a
Period component (with time series)
Figure 108:Period component and time series for VCF0867a
Hypothetical workplace — discrimination¶
discaff — Chances that a White person loses job/promotion to Black person?¶
Selected (y=1): [1, 2] — Percent saying very or somewhat likely
Question
What do you think the chances are these days that a white person won’t get a job or promotion while an equally or less qualified black person gets one instead?
Time series
Figure 109:Time series for discaff
Cohort trajectories
Figure 110:Cohort trajectories for discaff
Cohort component
Figure 111:Cohort component for discaff
Period component (with time series)
Figure 112:Period component and time series for discaff
wkracism — Do you feel discriminated against at work?¶
Selected (y=1): [1] — Percent saying yes
Question
Do you feel in any way discriminated against on your job because of your race or ethnic origin?
Time series
Figure 113:Time series for wkracism
Cohort trajectories
Figure 114:Cohort trajectories for wkracism
Cohort component
Figure 115:Cohort component for wkracism
Period component (with time series)
Figure 116:Period component and time series for wkracism
General condition¶
wlthblk_rel — How wealthy are White and Black people?¶
Selected (y=1): [1] — Percent rating Black people poorer
Question
Derived from wlthblks and wlthwhts: 1 if the respondent places Black people closer to ‘poor’ than White people on the 7-point rich–poor scale.
Time series
Figure 117:Time series for wlthblk_rel
Cohort trajectories
Figure 118:Cohort trajectories for wlthblk_rel
Cohort component
Figure 119:Cohort component for wlthblk_rel
Period component (with time series)
Figure 120:Period component and time series for wlthblk_rel
VCF9042 — Have Black people gotten less than they deserve?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
Over the past few years blacks have gotten less than they deserve.
Time series
Figure 121:Time series for VCF9042
Cohort trajectories
Figure 122:Cohort trajectories for VCF9042
Cohort component
Figure 123:Cohort component for VCF9042
Period component (with time series)
Figure 124:Period component and time series for VCF9042
VCF0813 — How much real change in the position of Black people?¶
Selected (y=1): [2, 3] — Percent saying some or a lot
Question
In the past few years, we have heard a lot about improving the position of black people in this country. How much real change do you think there has been in the position of black people in the past few years: a lot, some, or not much at all?
Time series
Figure 125:Time series for VCF0813
Cohort trajectories
Figure 126:Cohort trajectories for VCF0813
Cohort component
Figure 127:Cohort component for VCF0813
Period component (with time series)
Figure 128:Period component and time series for VCF0813
Explanations — circumstances¶
racdif1 — Are racial gaps in jobs, income, and housing mainly due to discrimination?¶
Selected (y=1): [1] — Percent saying yes
Question
Do you think these differences are mainly due to discrimination?
Time series
Figure 129:Time series for racdif1
Cohort trajectories
Figure 130:Cohort trajectories for racdif1
Cohort component
Figure 131:Cohort component for racdif1
Period component (with time series)
Figure 132:Period component and time series for racdif1
racdif3 — Are racial gaps due to lack of chance for education?¶
Selected (y=1): [1] — Percent saying yes
Question
Do you think these differences are because most African-Americans don’t have the chance for education that it takes to rise out of poverty?
Time series
Figure 133:Time series for racdif3
Cohort trajectories
Figure 134:Cohort trajectories for racdif3
Cohort component
Figure 135:Cohort component for racdif3
Period component (with time series)
Figure 136:Period component and time series for racdif3
VCF9039 — Does history of slavery and discrimination hold Black people back?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
Generations of slavery and discrimination have created conditions that make it difficult for blacks to work their way out of the lower class.
Time series
Figure 137:Time series for VCF9039
Cohort trajectories
Figure 138:Cohort trajectories for VCF9039
Cohort component
Figure 139:Cohort component for VCF9039
Period component (with time series)
Figure 140:Period component and time series for VCF9039
Explanations — attributes¶
racdif2 — Are racial gaps due to less in-born ability to learn?¶
Selected (y=1): [1] — Percent saying yes
Question
Do you think these differences are because most African-Americans have less in-born ability to learn?
Time series
Figure 141:Time series for racdif2
Cohort trajectories
Figure 142:Cohort trajectories for racdif2
Cohort component
Figure 143:Cohort component for racdif2
Period component (with time series)
Figure 144:Period component and time series for racdif2
intlblk_rel — How intelligent are White and Black people?¶
Selected (y=1): [1] — Percent rating Black people less intelligent
Question
Derived from intlblks and intlwhts: 1 if the respondent places Black people closer to ‘unintelligent’ than White people on the 7-point scale.
Time series
Figure 145:Time series for intlblk_rel
Cohort trajectories
Figure 146:Cohort trajectories for intlblk_rel
Cohort component
Figure 147:Cohort component for intlblk_rel
Period component (with time series)
Figure 148:Period component and time series for intlblk_rel
workblk_rel — How lazy are White and Black people?¶
Selected (y=1): [1] — Percent rating Black people lazier
Question
Derived from workblks and workwhts: 1 if the respondent places Black people closer to ‘lazy’ than White people on the 7-point hardworking–lazy scale.
Time series
Figure 149:Time series for workblk_rel
Cohort trajectories
Figure 150:Cohort trajectories for workblk_rel
Cohort component
Figure 151:Cohort component for workblk_rel
Period component (with time series)
Figure 152:Period component and time series for workblk_rel
VCF9271_rel — How lazy are White and Black people?¶
Selected (y=1): [1] — Percent rating Black people lazier
Question
Derived from VCF9271 and VCF9270: 1 if the respondent places Black people closer to ‘lazy’ than White people on the 7-point hardworking–lazy scale.
Time series
Figure 153:Time series for VCF9271_rel
Cohort trajectories
Figure 154:Cohort trajectories for VCF9271_rel
Cohort component
Figure 155:Cohort component for VCF9271_rel
Period component (with time series)
Figure 156:Period component and time series for VCF9271_rel
Explanations — tolerance of racist speaker¶
spkrac — Should a racist be barred from speaking in your community?¶
Selected (y=1): [2] — Percent saying yes
Question
Or consider a person who believes that Black people are genetically inferior. If such a person wanted to make a speech in your community claiming that Black people are inferior, should he be allowed to speak, or not?
Time series
Figure 157:Time series for spkrac
Cohort trajectories
Figure 158:Cohort trajectories for spkrac
Cohort component
Figure 159:Cohort component for spkrac
Period component (with time series)
Figure 160:Period component and time series for spkrac
colrac — Should a racist be barred from teaching in a college?¶
Selected (y=1): [5] — Percent saying yes
Question
Or consider a person who believes that Black people are genetically inferior. Should such a person be allowed to teach in a college or university, or not?
Time series
Figure 161:Time series for colrac
Cohort trajectories
Figure 162:Cohort trajectories for colrac
Cohort component
Figure 163:Cohort component for colrac
Period component (with time series)
Figure 164:Period component and time series for colrac
librac — Should a racist’s book be removed from the library?¶
Selected (y=1): [1] — Percent saying yes
Question
Or consider a person who believes that Black people are genetically inferior. If some people in your community suggested that a book he wrote which said Black people are inferior should be taken out of your public library, would you favor removing this book, or not?
Time series
Figure 165:Time series for librac
Cohort trajectories
Figure 166:Cohort trajectories for librac
Cohort component
Figure 167:Cohort component for librac
Period component (with time series)
Figure 168:Period component and time series for librac
Explanations — actions¶
racdif4 — Are racial gaps due to lack of motivation or will power?¶
Selected (y=1): [1] — Percent saying yes
Question
Do you think these differences are because most African-Americans just don’t have the motivation or will power to pull themselves up out of poverty?
Time series
Figure 169:Time series for racdif4
Cohort trajectories
Figure 170:Cohort trajectories for racdif4
Cohort component
Figure 171:Cohort component for racdif4
Period component (with time series)
Figure 172:Period component and time series for racdif4
VCF9041 — If Black people try harder, would they be as well off as Whites?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
It’s really a matter of some people not trying hard enough; if blacks would only try harder they could be just as well off as whites.
Time series
Figure 173:Time series for VCF9041
Cohort trajectories
Figure 174:Cohort trajectories for VCF9041
Cohort component
Figure 175:Cohort component for VCF9041
Period component (with time series)
Figure 176:Period component and time series for VCF9041
wrkwayup — Blacks should work their way up without special favors?¶
Selected (y=1): [1, 2] — Percent agreeing
Question
Irish, Italians, Jewish and many other minorities overcame prejudice and worked their way up. Black people should do the same without special favors.
Time series
Figure 177:Time series for wrkwayup
Cohort trajectories
Figure 178:Cohort trajectories for wrkwayup
Cohort component
Figure 179:Cohort component for wrkwayup
Period component (with time series)
Figure 180:Period component and time series for wrkwayup
VCF9040 — Should Black people work their way up without special favors?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
Irish, Italians, Jewish and many other minorities overcame prejudice and worked their way up. Blacks should do the same without any special favors.
Time series
Figure 181:Time series for VCF9040
Cohort trajectories
Figure 182:Cohort trajectories for VCF9040
Cohort component
Figure 183:Cohort component for VCF9040
Period component (with time series)
Figure 184:Period component and time series for VCF9040
Policy¶
VCF9037 — Should the government ensure fair treatment for Black people?¶
Selected (y=1): [1] — Percent saying yes
Question
Should the government in Washington see to it that black people get fair treatment in jobs, or is this not the federal government’s business? (1964–1972: or leave these matters to the states and local communities?)
Time series
Figure 185:Time series for VCF9037
Cohort trajectories
Figure 186:Cohort trajectories for VCF9037
Cohort component
Figure 187:Cohort component for VCF9037
Period component (with time series)
Figure 188:Period component and time series for VCF9037
helpblk — Government has an obligation to help Black people?¶
Selected (y=1): [1, 2] — Percent saying yes
Question
Some people think that Black people have been discriminated against for so long that the government has a special obligation to help improve their living standards. Others believe that the government should not be giving special treatment to Black people.
Time series
Figure 189:Time series for helpblk
Cohort trajectories
Figure 190:Cohort trajectories for helpblk
Cohort component
Figure 191:Cohort component for helpblk
Period component (with time series)
Figure 192:Period component and time series for helpblk
VCF0830 — Should government improve the social/economic position of Black people?¶
Selected (y=1): [1, 2, 3] — Percent saying yes
Question
Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. Others feel that the government should not make any special effort to help blacks because they should help themselves.
Time series
Figure 193:Time series for VCF0830
Cohort trajectories
Figure 194:Cohort trajectories for VCF0830
Cohort component
Figure 195:Cohort component for VCF0830
Period component (with time series)
Figure 196:Period component and time series for VCF0830
natrace — Are we spending too little to improve the conditions of Black people?¶
Selected (y=1): [1] — Percent saying yes
Question
Are we spending too much, too little, or about the right amount on improving the conditions of Black people?
Time series
Figure 197:Time series for natrace
Cohort trajectories
Figure 198:Cohort trajectories for natrace
Cohort component
Figure 199:Cohort component for natrace
Period component (with time series)
Figure 200:Period component and time series for natrace
natracey — Are we spending too little on assistance to Black people?¶
Selected (y=1): [1] — Percent saying yes
Question
Are we spending too much, too little, or about the right amount on assistance to Black people? (Split-ballot wording of natrace.)
Time series
Figure 201:Time series for natracey
Cohort trajectories
Figure 202:Cohort trajectories for natracey
Cohort component
Figure 203:Cohort component for natracey
Period component (with time series)
Figure 204:Period component and time series for natracey
VCF9050 — Should we increase federal spending on programs for Black people?¶
Selected (y=1): [1] — Percent saying yes
Question
Should federal spending on programs that assist blacks be increased, decreased, or kept about the same?
Time series
Figure 205:Time series for VCF9050
Cohort trajectories
Figure 206:Cohort trajectories for VCF9050
Cohort component
Figure 207:Cohort component for VCF9050
Period component (with time series)
Figure 208:Period component and time series for VCF9050
Hypothetical politics¶
racpres — Would you vote for a Black presidential candidate?¶
Selected (y=1): [1] — Percent saying yes
Question
If your party nominated an African-American for President, would you vote for him if he were qualified for the job?
Time series
Figure 209:Time series for racpres
Cohort trajectories
Figure 210:Cohort trajectories for racpres
Cohort component
Figure 211:Cohort component for racpres
Period component (with time series)
Figure 212:Period component and time series for racpres
VCF9274 — Do Black people have too little influence in American life and politics?¶
Selected (y=1): [3] — Percent saying yes
Question
Some people think that certain groups have too much influence in American life and politics, while other people feel that certain groups don’t have as much influence as they deserve. Would you say that Black people have too much influence, just about the right amount of influence, or too little influence in American life and politics?
Time series
Figure 213:Time series for VCF9274
Cohort trajectories
Figure 214:Cohort trajectories for VCF9274
Cohort component
Figure 215:Cohort component for VCF9274
Period component (with time series)
Figure 216:Period component and time series for VCF9274
Too far, too fast?¶
VCF9275 — Do Black people have too little influence in American politics?¶
Selected (y=1): [3] — Percent saying yes
Question
Would you say that Black people have too much influence in American politics, just about the right amount of influence in American politics, or too little influence in American politics?
Time series
Figure 217:Time series for VCF9275
Cohort trajectories
Figure 218:Cohort trajectories for VCF9275
Cohort component
Figure 219:Cohort component for VCF9275
Period component (with time series)
Figure 220:Period component and time series for VCF9275
VCF0814 — Are civil rights leaders pushing too slowly?¶
Selected (y=1): [1] — Percent saying yes
Question
Some say that the civil rights people have been trying to push too fast. Others feel they haven’t pushed fast enough. How about you: do you think that civil rights leaders are trying to push too fast, are going too slowly, or are they moving about the right speed?
Time series
Figure 221:Time series for VCF0814
Cohort trajectories
Figure 222:Cohort trajectories for VCF0814
Cohort component
Figure 223:Cohort component for VCF0814
Period component (with time series)
Figure 224:Period component and time series for VCF0814
VCF0216 — Feeling thermometer: civil rights leaders¶
Selected (y=1): [50–97] — Percent neutral to warm
Question
Feeling thermometer: civil rights leaders.
Time series
Figure 225:Time series for VCF0216
Cohort trajectories
Figure 226:Cohort trajectories for VCF0216
Cohort component
Figure 227:Cohort component for VCF0216
Period component (with time series)
Figure 228:Period component and time series for VCF0216
VCF0215 — Feeling thermometer: Black militants¶
Selected (y=1): [50–97] — Percent neutral to warm
Question
Feeling thermometer: Black militants.
Time series
Figure 229:Time series for VCF0215
Cohort trajectories
Figure 230:Cohort trajectories for VCF0215
Cohort component
Figure 231:Cohort component for VCF0215
Period component (with time series)
Figure 232:Period component and time series for VCF0215
Feelings¶
VCF0206 — Feeling thermometer: Blacks¶
Selected (y=1): [50–97] — Percent neutral to warm
Question
Feeling thermometer: Blacks.
Time series
Figure 233:Time series for VCF0206
Cohort trajectories
Figure 234:Cohort trajectories for VCF0206
Cohort component
Figure 235:Cohort component for VCF0206
Period component (with time series)
Figure 236:Period component and time series for VCF0206
By respondent race: time series
Figure 237:By respondent race: time series for VCF0206
By respondent race: period component
Figure 238:By respondent race: period component for VCF0206
By respondent race: cohort component
Figure 239:By respondent race: cohort component for VCF0206
VCF0207 — Feeling thermometer: Whites¶
Selected (y=1): [50–97] — Percent neutral to warm
Question
Feeling thermometer: Whites.
Time series
Figure 240:Time series for VCF0207
Cohort trajectories
Figure 241:Cohort trajectories for VCF0207
Cohort component
Figure 242:Cohort component for VCF0207
Period component (with time series)
Figure 243:Period component and time series for VCF0207
By respondent race: time series
Figure 244:By respondent race: time series for VCF0207
By respondent race: period component
Figure 245:By respondent race: period component for VCF0207
By respondent race: cohort component
Figure 246:By respondent race: cohort component for VCF0207
VCF0227 — Feeling thermometer: Asian-Americans¶
Selected (y=1): [50–97] — Percent neutral to warm
Question
Feeling thermometer: Asian-Americans.
Time series
Figure 247:Time series for VCF0227
Cohort trajectories
Figure 248:Cohort trajectories for VCF0227
Cohort component
Figure 249:Cohort component for VCF0227
Period component (with time series)
Figure 250:Period component and time series for VCF0227
By respondent race: time series
Figure 251:By respondent race: time series for VCF0227
By respondent race: period component
Figure 252:By respondent race: period component for VCF0227
By respondent race: cohort component
Figure 253:By respondent race: cohort component for VCF0227