Shared Purpose, NCB

Compare every country on one scale

The table starts in alphabetical order. Sort by score, confidence, coverage, or trend. A score needs two observed indicators; a trend uses indicators observed at both ends.

Scores use one 0 to 100 scale for all countries. Each flag is a country, and the ring around it shows how strong the evidence behind that score is. Point at a flag to read the country, click it to open the profile.

Solid ring: usable or good evidence
Broken ring: thin evidence, opening further as confidence falls
The shaded band is the middle half of the field and the line inside it is the median.

Shared Purpose scores by country

Albania	45.7	0.38	3 of 6	no trend
Angola	20.8	0.24	2 of 6	no trend
Argentina	33.1	0.43	3 of 6	-2.5(2)
Armenia	75.1	0.32	2 of 6	+8.6(2)
Australia	70.3	0.36	3 of 6	no trend
Austria	57.1	0.42	3 of 6	-0.6(2)
Azerbaijan	23.9	0.28	2 of 6	no trend
Bangladesh	36.6	0.37	3 of 6	+2.5(2)
Belarus	45.2	0.38	3 of 6	no trend
Belgium	76.8	0.30	2 of 6	+1.2(2)
Bolivia	46.2	0.28	2 of 6	no trend
Bosnia and Herzegovina	48.9	0.40	3 of 6	+4.3(2)
Botswana	37.1	0.18	2 of 6	no trend
Brazil	30.4	0.43	3 of 6	+6.7(2)
Bulgaria	39.8	0.42	3 of 6	+2.0(2)
Burkina Faso	56.0	0.28	2 of 6	+3.6(2)
Burundi	47.2	0.22	2 of 6	no trend
Canada	57.4	0.41	3 of 6	+3.4(2)
Chile	44.3	0.43	3 of 6	+4.3(2)
China	29.4	0.41	3 of 6	+0.7(2)
Colombia	46.3	0.43	3 of 6	-2.5(2)
Costa Rica	37.3	0.32	2 of 6	+4.4(2)
Côte d'Ivoire	50.8	0.26	2 of 6	+10.9(2)
Croatia	54.9	0.41	3 of 6	+0.1(2)
Cuba	not measured. No score. 0 indicators are observed here; this model needs two before it can average a dimension score.	0.00	0 of 6. Below the coverage floor: this model needs 2 observed rows before it publishes a score.	no trend
Cyprus	61.4	0.42	3 of 6	+2.1(2)
Czechia	72.1	0.30	2 of 6	-1.9(2)
Democratic Republic of the Congo	34.3	0.24	2 of 6	no trend
Denmark	74.4	0.42	3 of 6	-2.5(2)
Dominican Republic	48.1	0.32	2 of 6	+11.8(2)
Ecuador	39.1	0.41	3 of 6	-3.3(2)
Egypt	43.9	0.28	3 of 6	no trend
El Salvador	57.1	0.30	2 of 6	+6.6(2)
Estonia	48.2	0.42	3 of 6	+2.1(2)
Ethiopia	45.2	0.40	3 of 6	-1.4(2)
Finland	65.0	0.42	3 of 6	+5.8(2)
France	52.3	0.42	3 of 6	-0.4(2)
Gambia	not measured. No score. One indicator is observed here; this model needs two before it can average a dimension score.	0.11	1 of 6. Below the coverage floor: this model needs 2 observed rows before it publishes a score.	no trend
Georgia	47.5	0.43	3 of 6	+5.5(2)
Germany	49.9	0.29	2 of 6	-4.7(2)
Ghana	38.5	0.20	2 of 6	no trend
Greece	52.5	0.42	3 of 6	+2.7(2)
Guatemala	48.7	0.42	3 of 6	+6.0(2)
Guinea	not measured. No score. One indicator is observed here; this model needs two before it can average a dimension score.	0.08	1 of 6. Below the coverage floor: this model needs 2 observed rows before it publishes a score.	no trend
Guinea-Bissau	46.6	0.28	2 of 6	no trend
Haiti	not measured. No score. One indicator is observed here; this model needs two before it can average a dimension score.	0.02	1 of 6. Below the coverage floor: this model needs 2 observed rows before it publishes a score.	no trend
Honduras	39.3	0.26	2 of 6	no trend
Hungary	51.2	0.34	3 of 6	no trend
India	64.8	0.40	3 of 6	+1.9(2)
Indonesia	83.6	0.28	2 of 6	no trend
Iran	72.1	0.26	2 of 6	no trend
Iraq	49.4	0.36	3 of 6	no trend
Ireland	66.6	0.30	2 of 6	+4.3(2)
Israel	61.3	0.29	2 of 6	+1.2(2)
Italy	51.0	0.42	3 of 6	+2.0(2)
Jamaica	59.7	0.22	2 of 6	no trend
Japan	40.8	0.23	2 of 6	no trend
Jordan	31.3	0.26	2 of 6	no trend
Kazakhstan	45.8	0.38	3 of 6	+0.1(2)
Kenya	65.2	0.40	3 of 6	+1.9(2)
Kyrgyzstan	55.5	0.43	3 of 6	+2.8(2)
Laos	50.3	0.29	2 of 6	+0.6(2)
Latvia	42.6	0.42	3 of 6	+1.0(2)
Lebanon	37.2	0.41	3 of 6	-8.5(2)
Lesotho	69.7	0.22	2 of 6	no trend
Lithuania	43.7	0.42	3 of 6	+10.2(2)
Madagascar	45.7	0.28	2 of 6	+10.5(2)
Malawi	50.0	0.25	2 of 6	no trend
Malaysia	55.3	0.40	3 of 6	-1.1(2)
Mali	48.7	0.22	2 of 6	no trend
Mauritius	59.5	0.22	2 of 6	no trend
Mexico	44.8	0.43	3 of 6	+8.4(2)
Moldova	70.8	0.32	2 of 6	+2.7(2)
Mongolia	58.1	0.41	3 of 6	+9.2(2)
Morocco	62.0	0.29	3 of 6	no trend
Mozambique	43.6	0.29	2 of 6	+8.6(2)
Myanmar	59.6	0.28	3 of 6	no trend
Namibia	47.8	0.20	2 of 6	no trend
Nepal	59.4	0.28	2 of 6	+26.5(2)
Netherlands	81.7	0.28	2 of 6	+7.7(2)
New Zealand	82.0	0.28	2 of 6	no trend
Nicaragua	47.9	0.31	3 of 6	no trend
Nigeria	64.9	0.25	2 of 6	no trend
North Macedonia	54.6	0.37	3 of 6	no trend
Norway	68.9	0.42	3 of 6	+7.5(2)
Pakistan	60.9	0.28	2 of 6	no trend
Panama	22.4	0.32	2 of 6	-3.2(2)
Papua New Guinea	not measured. No score. One indicator is observed here; this model needs two before it can average a dimension score.	0.16	1 of 6. Below the coverage floor: this model needs 2 observed rows before it publishes a score.	no trend
Paraguay	36.0	0.32	2 of 6	+7.7(2)
Peru	37.1	0.40	3 of 6	+7.9(2)
Philippines	52.0	0.42	3 of 6	+9.2(2)
Poland	48.1	0.42	3 of 6	+5.5(2)
Portugal	46.1	0.42	3 of 6	+1.4(2)
Republic of the Congo	22.6	0.13	2 of 6	no trend
Romania	63.0	0.30	2 of 6	+5.1(2)
Russia	50.9	0.30	2 of 6	+7.6(2)
Rwanda	44.6	0.30	2 of 6	+3.2(2)
Serbia	69.9	0.28	2 of 6	+10.4(2)
Singapore	32.3	0.28	2 of 6	no trend
Slovakia	75.5	0.30	2 of 6	+3.6(2)
Slovenia	70.5	0.42	3 of 6	-1.5(2)
South Africa	43.2	0.29	2 of 6	+8.4(2)
South Korea	40.1	0.40	3 of 6	+3.2(2)
Spain	44.1	0.42	3 of 6	+5.1(2)
Sri Lanka	42.9	0.24	2 of 6	no trend
Sudan	44.2	0.08	2 of 6	no trend
Sweden	72.7	0.42	3 of 6	-1.2(2)
Switzerland	47.1	0.42	3 of 6	-0.4(2)
Tajikistan	48.7	0.43	3 of 6	-2.2(2)
Tanzania	42.5	0.24	2 of 6	no trend
Thailand	64.8	0.43	3 of 6	+3.4(2)
Trinidad and Tobago	not measured. No score. One indicator is observed here; this model needs two before it can average a dimension score.	0.09	1 of 6. Below the coverage floor: this model needs 2 observed rows before it publishes a score.	no trend
Tunisia	49.9	0.26	3 of 6	no trend
Turkey	35.4	0.42	3 of 6	-3.5(2)
Uganda	46.2	0.30	2 of 6	+8.6(2)
Ukraine	75.7	0.26	2 of 6	no trend
United Arab Emirates	45.3	0.24	2 of 6	no trend
United Kingdom	74.7	0.28	2 of 6	+3.3(2)
United States	53.9	0.43	3 of 6	-0.8(2)
Uruguay	56.0	0.43	3 of 6	-6.0(2)
Uzbekistan	46.7	0.42	3 of 6	no trend
Venezuela	not measured. No score. One indicator is observed here; this model needs two before it can average a dimension score.	0.12	1 of 6. Below the coverage floor: this model needs 2 observed rows before it publishes a score.	no trend
Vietnam	43.6	0.25	2 of 6	no trend
Zambia	36.7	0.29	2 of 6	+13.9(2)
Zimbabwe	35.5	0.29	3 of 6	no trend

A score from 0 to 100 is a position inside the frame that all the benchmark countries set: zero is the weakest on a dimension and 100 is the strongest. A score of 10 puts a country near the floor of that frame and does not mean 10 percent of a capability.

Shared Purpose indicators

7 indicators define this capability. Gaps and retired rows remain because they lower confidence. Click a heading to sort.

direct capability measuredirect capability measure Measures the thing itself.
capability inputcapability input Measures something that supports the capability.
downstream outcomedownstream outcome Measures a result that usually follows from the capability.
perception proxyperception proxy Records what people or experts say, not what they did.

Shared Purpose

Shared Purpose indicators
						Note
Civic participation	direct capability measure	% mentioning	higher is better	Joint EVS/WVS	0.10	A reported behaviour: the publisher-weighted share of respondents mentioning membership of a humanitarian or charitable organisation, the membership item closest to acting for strangers, in the official Joint EVS/WVS 2017-2022 results table, release 5.0.0. Religious membership is left out because it reads religiosity, and a count of any membership is not published in the aggregate table. The two programmes ask differently: EVS shows a list and asks which the respondent belongs to, WVS reads each type aloud and asks about active or inactive membership, and the joint file counts both kinds of WVS member as mentioned. Where one country has both samples, the WVS share is higher in eight of ten, so part of the spread is question format. Membership is not activity. China reads 2.7% and Vietnam 9.4%, so state mass organisations do not inflate this item. Fieldwork runs from 2017 to 2023 and every value carries the release year 2022. Germany, the United Kingdom and the Netherlands are held, as for interpersonal trust. See D128 and A15.
Income inequality	downstream outcome	Gini 0-100	lower is better	World Bank	0.20	Included as a structural constraint on seeing yourself in a common project, not as a value judgement. Contested and worth challenging.
Political polarisationno dataset	perception proxy	index 0-4	lower is better	V-Dem	0.05	V-Dem political polarization (v2cacamps) is published beside this dimension as a behavioral check and is not scored, because a regime with no organized opposition reads as calm (D121, A13). The gap stays open for a measure that can tell calm between competing camps from calm where no camp may compete. Pluralism is the target, so only hostile polarization should count against a country.
Sense of national belongingno dataset	perception proxy	% expressing belonging	higher is better	Joint EVS/WVS	0.05	A declared gap again since 2026-10-02 (D151, which supersedes the retirement in D143). The project still wants to know whether people count themselves members of the community whose common project this capability asks about, so the row stays even though no series can fill it. The only cross-national item aimed at it, national pride (G006) in the Joint EVS/WVS, is not wired: pride is not belonging, and it fails the regime test of artefact A13, with electoral autocracies at 75 percent very proud against 47 in liberal democracies. ISSP 2023 asks about closeness to the country in 16 countries. Wireable on an item that reads the same in every regime class, or on a behaviour of belonging, for half the frame or more. High national pride must never be read as the capacity for collective action.
Tax revenue	downstream outcome	% of GDP	higher is better	World Bank	0.30	Revealed willingness to fund public goods, confounded by federal structure and by resource revenue. Treat with suspicion.
Voice and accountabilityretired	perception proxy	z-score -2.5 to 2.5	higher is better	World Bank	0.35	Retired 2026-08-26. Artefact A5: it measures the democratic channel while Shared Purpose asks whether people can see themselves in a common project. Singapore scored 20.9 while being one of the most effective collective actors in the set. Volunteering and civic participation are the observable replacements and are declared gaps; voter turnout is published beside Shared Purpose as a check, because it reads the same democratic channel and compulsory voting (D129). See D23 and A5.
Volunteeringno dataset	direct capability measure	% of adults	higher is better	Gallup World Poll / CAF	0.10	CAF publishes country figures but the underlying Gallup microdata is proprietary, so it fails the inspectability rule.

A check beside the score

This check measures something real about the capability, but it does not meet the model's test for scoring. Country pages show its value.

Political polarizationV-Dem (v2cacamps_osp), 125 of 125 countries, latest 2025
Whether supporters of opposing political camps generally meet in a friendly or a hostile manner, rated by V-Dem country experts from 0, friendly, to 4, hostile.
The question counts hostility and leaves disagreement alone, which is what pluralism asks for. It is not scored because a low reading has two causes the number cannot tell apart. Where camps compete openly, a calm reading means people who disagree still meet as fellow citizens. Where no opposition may organize, it means there is no camp left to be hostile to. In 2025 the five closed autocracies in the frame average 2.18 and the liberal democracies 1.67, while electoral democracies and electoral autocracies sit near 2.8 and 3.3. Scored, the reading would have lifted the United Arab Emirates about 11 points on this capability for a uniformity the benchmark does not count as shared purpose. Income is not why it is left out: richer countries read only somewhat calmer, at about -0.41 against log GDP per capita.
Voter turnoutV-Dem (v2eltrnout), 124 of 125 countries, latest 2025
Share of registered voters who cast a vote in the latest national election up to 2025, according to official results, as coded by V-Dem from IDEA, IPU and IFES sources. Where executive and legislative elections fall on the same day, the executive turnout is coded.
Turnout is the one act in which a whole population takes part in a common decision, so it is the closest behavioral reading of shared purpose the benchmark has. It is not scored for three reasons the number cannot separate. It reads the democratic channel, which is why voice and accountability was retired from this capability (A5): a country with no competitive elections cannot score well for reasons unrelated to whether its people see themselves in a common project. Compulsory voting turns it into a reading of the law: Brazil enforces it, and the eight countries that enforce sanctions average 83 percent against 65 where voting is voluntary. And closed and electoral autocracies manage it: Vietnam reads 95.6, Rwanda 98.2 and Singapore 92.8, which is mobilization, not participation (A13). The year shown is the latest national election, because elections are coded only in the year they happen.

Documented examples

These records describe something a country has done that this capability should capture. They stay outside the score because one case is not a comparable series.

Evidence for missing indicators

Each record describes a case the indicators above cannot see. It does not affect the score or confidence because one case is not comparable across countries. A gap can become an indicator when a comparable series covers at least two countries.

Rwandalinked to Volunteeringstarted 2007still operating
Umuganda community work
Rwanda requires a morning of community work on the last Saturday of each month, and the government's own assessment reports average participation of 91.3 percent of adults countrywide in fiscal year 2015-2016, up from 87.8 percent two years earlier.
91.3 % of adults 18-65, umuganda participation rate, 2016. 87.8 % of adults 18-65, umuganda participation rate two years earlier, 2014. Rwanda Governance Board, impact assessment of umuganda 2007-2016, citing MINALOC annual reports, retrieved 2026-08-27.
How it worked: The state fixed a single national morning each month, closed roads and shops for it, assigned works through the lowest administrative level, and had officials up to the president participate visibly, converting an old rural practice into a synchronised national institution.
Limits: The number is the state assessing its own compulsory programme in a country where declining to participate carries social and administrative cost, so it cannot be read as volunteering in the survey sense the indicator intends, and no independent measurement exists. Participation is legally required, which is the opposite of the construct's voluntariness. The record is filed anyway because the indicator is a gap and the case is the strongest documented instance of state-organised mass civic labour, provided the compulsion is read alongside the number.
Germanylinked to Volunteeringstarted 1950still operating
THW, volunteer civil protection as a federal institution
Germany's federal civil-protection agency trains and equips a volunteer force that reached about 88,000 people across 669 local units in May 2025, supported by about 2,200 paid staff.
88,000 people, volunteer thw members, 2025-05. 669 local units, local thw units, 2025-05. Bundesanstalt Technisches Hilfswerk, agency overview, retrieved 2026-08-30.
How it worked: The federal government supplies equipment, doctrine and a small professional backbone while local volunteer units recruit, train and retain the people who operate it, turning civic participation into standing disaster-response capacity.
Limits: Membership in one emergency-service organisation is not the share of adults who volunteered in the last month, which is what the indicator asks for, and it cannot be compared directly with countries that organise civil protection through paid services. The agency reports its own membership, the count includes more than 17,000 youth members, and it does not show how often each member trains or deploys.
Japanlinked to Volunteeringstarted 1965operating below its peak
Volunteer fire corps, and its membership erosion
Japan's Fire and Disaster Management Agency reported 732,223 volunteer fire-corps members on 1 April 2025, a fall of 14,458 in one year in the local disaster-response corps that it describes as a core of community resilience.
732,223 members, volunteer fire-corps members, 2025-04-01. 14,458 members lost, one-year membership decline, 2025-04-01. Japan Fire and Disaster Management Agency, 2025 White Paper on Fire Service, retrieved 2026-08-31.
How it worked: Japan embeds trained local volunteers in municipal fire organisations, gives them equipment and a formal role in prevention and disaster response, and is now adding function-specific and student units as the general membership base shrinks. The erosion shows that a long-standing civic institution needs an active recruitment and role-design strategy to remain deployable.
Limits: Membership is a capacity proxy, not the number of volunteers who turn out, hours trained, response quality or lives and property protected. The agency reports a one-year decline but this record does not identify its causes or establish a long-run causal trend; local corps differ in duties, age structure and recruitment, and the national total can hide uneven resilience.
United Stateslinked to Political polarisationstarted 1977operating below its peak
Federal funding gaps and the 2019 shutdown
The Congressional Research Service records 20 federal funding-gap shutdowns with at least one full day between FY1977 and FY2019, including the 35-day partial shutdown from 21 December 2018 to 25 January 2019, the longest in the period it surveys.
35 days, longest partial federal shutdown, 2019-01-25. 20 shutdowns, funding-gap shutdowns with at least one full day, 1977-2019. Congressional Research Service, Past Government Shutdowns: Key Resources, retrieved 2026-08-31.
How it worked: The US appropriations process allows a lapse in budget authority to stop or furlough parts of the federal government, turning unresolved political conflict into an interruption of administration. Continuing resolutions and contingency plans soften the shock but do not remove the incentive or the coordination cost of brinkmanship.
Limits: Shutdown duration and frequency are institutional consequences that can reflect constitutional rules, divided government and bargaining strategy, not a direct measure of public attitudes or latent polarisation. The CRS series ends in FY2019 for this historical resource, and a shutdown's operational cost varies with which agencies lose budget authority.