UN graph smell test — 2026-09-18

Plausibility checks run against the UN System Data Commons from outside it. The checks are deliberately dumb — a percentage above 100, a negative count, a rate exceeding its own denominator, one value repeated across countries that should not agree. None of them require subject-matter knowledge, which is why an outsider can run them at all.

This flags; it does not judge. A gross enrolment ratio above 100% is correct. A flatline can be a country that genuinely did not change. Every row below is a question for someone who knows the indicator, not a defect report. The indicator name is printed against every row so that person can answer it.

Scope: all 689 enumerated SDG base indicators — 1,661 indicators, 1,701,211 observations across every reporting country and year.

3,844 findings across 9 checks.

What the checks reach

Range checks depend on knowing what the unit means. Most of the corpus is percentages and counts; the rest gets only the unit-agnostic checks (jump, flatline, shared value, future date). This table is here so the headline count is read against what was actually inspected.

Unit kind	Indicators	Observations	Range checks
other	1003	721,100	no — unit-agnostic checks only
percent	401	565,367	yes — 0–100
count	198	330,671	yes — non-negative
scaled	59	84,073	yes — capped by denominator

Check	Severity	Findings	Indicators	What it means
`outlier`	HIGH	77	26	At least 20x the indicator’s own 99th percentile across every country and year. Scale-free, so it survives when an absolute range check has been suppressed as structural — and it is the only check that reaches units with no meaningful range.
`percent_negative`	HIGH	40	12	A percentage below zero is not a measurement.
`negative_count`	HIGH	12	1	A count of things cannot be negative.
`rate_over_scale`	HIGH	4	1	The rate exceeds its own denominator. Written expecting ‘more events than there are people to have them’ — but all four hits are disaster-affected persons per 100,000, where a person counts once per disaster, so exceeding the population is correct for a country hit repeatedly in one year. The check stands because the same shape on a rate that cannot repeat would be a real error; the premise, as written, was wrong.
`jump`	MEDIUM	918	169	Changed by a factor of 10+ in one year, by a margin worth 5%+ of the series’ own range. A real shock, a revision, or a units change. Only run on non-negative counts, rates and percentages — a ratio means nothing on a signed index.
`percent_over_100`	MEDIUM	300	26	Above 100%. Sometimes correct — gross enrolment ratios count pupils outside the nominal age band in the numerator only, and Kuwait’s water stress genuinely exceeds its renewable resources — and sometimes it is Malaysia recycling 147.7% of its municipal waste. Needs a human.
`shared_value`	MEDIUM	200	13	An identical value carrying 3+ decimals, in 5+ countries for the same year. Countries do not agree to that precision by chance; this is the shape of a modelled default.
`flatline`	LOW	1,546	147	6+ consecutive identical non-zero values. Either nothing changed, or a figure is being carried forward.
`flatline_zero`	LOW	747	112	10+ consecutive zeros. Often true of small states; occasionally a missing value written as 0.

`outlier` — HIGH · 77 findings

At least 20x the indicator’s own 99th percentile across every country and year. Scale-free, so it survives when an absolute range check has been suppressed as structural — and it is the only check that reaches units with no meaningful range.

Indicator	Place	Year	Value	Unit	Detail
Average monthly earnings of employees in international dollars a	Slovenia	2000	341007	`CR_USD_PPP_2021`	27x the indicator’s p99 (1.268e+04); median 1,082
Average monthly earnings of employees in international dollars a	Slovenia	2001	359645	`CR_USD_PPP_2021`	28x the indicator’s p99 (1.268e+04); median 1,082
Average monthly earnings of employees in international dollars a	Slovenia	2003	392113	`CR_USD_PPP_2021`	31x the indicator’s p99 (1.268e+04); median 1,082
Average monthly earnings of employees in international dollars a	Slovenia	2004	409211	`CR_USD_PPP_2021`	32x the indicator’s p99 (1.268e+04); median 1,082
Monthly minimum wage in international dollars at Purchasing Powe	Slovenia	2000	159122	`CR_USD_PPP_2021`	47x the indicator’s p99 (3,382); median 385.7
Monthly minimum wage in international dollars at Purchasing Powe	Slovenia	2001	175364	`CR_USD_PPP_2021`	52x the indicator’s p99 (3,382); median 385.7
Monthly minimum wage in international dollars at Purchasing Powe	Slovenia	2002	170774	`CR_USD_PPP_2021`	50x the indicator’s p99 (3,382); median 385.7
Monthly minimum wage in international dollars at Purchasing Powe	Slovenia	2003	125613	`CR_USD_PPP_2021`	37x the indicator’s p99 (3,382); median 385.7
Monthly minimum wage in international dollars at Purchasing Powe	Slovenia	2004	109986	`CR_USD_PPP_2021`	33x the indicator’s p99 (3,382); median 385.7
Monthly minimum wage in international dollars at Purchasing Powe	Slovenia	2005	114808	`CR_USD_PPP_2021`	34x the indicator’s p99 (3,382); median 385.7
Monthly minimum wage in international dollars at Purchasing Powe	Slovenia	2006	116837	`CR_USD_PPP_2021`	35x the indicator’s p99 (3,382); median 385.7
Cases of fatal occupational injury	Thailand	2013	112985	`COUNT_CASES`	22x the indicator’s p99 (5,250); median 75
Fatal occupational injury rate per 100,000 workers	Thailand	2013	1269.26	`RATE`	33x the indicator’s p99 (38.38); median 3.25
Fatal occupational injury rate per 100,000 workers	Thailand	2014	820.34	`RATE`	21x the indicator’s p99 (38.38); median 3.25
Days not worked per 1000 workers due to strikes and lockouts	Lithuania	2008	27087	`RATE`	24x the indicator’s p99 (1,124); median 9
Days not worked per 1000 workers due to strikes and lockouts	Turkey	2024	140530	`RATE`	125x the indicator’s p99 (1,124); median 9
Number of workers involved in strikes and lockouts	Brazil	2015	1.28468e+09	`COUNT_PERSONS`	190x the indicator’s p99 (6.761e+06); median 1.013e+04
Number of workers involved in strikes and lockouts	Brazil	2016	7.60967e+08	`COUNT_PERSONS`	113x the indicator’s p99 (6.761e+06); median 1.013e+04
Number of workers involved in strikes and lockouts	Brazil	2017	3.64566e+08	`COUNT_PERSONS`	54x the indicator’s p99 (6.761e+06); median 1.013e+04
Number of workers involved in strikes and lockouts	Brazil	2018	1.67649e+08	`COUNT_PERSONS`	25x the indicator’s p99 (6.761e+06); median 1.013e+04
Number of workers involved in strikes and lockouts	Brazil	2019	1.66199e+08	`COUNT_PERSONS`	25x the indicator’s p99 (6.761e+06); median 1.013e+04
Electronic waste collected per capita	Guadeloupe	2022	13951.2	`WEIGHT_KG`	110x the indicator’s p99 (127.2); median 6.56
Electronic waste recycled per capita	Guadeloupe	2022	13951.2	`WEIGHT_KG`	110x the indicator’s p99 (127.2); median 5.54
Hazardous waste exported	Australia	2007	3.83761e+07	`WEIGHT_TN`	23x the indicator’s p99 (1.647e+06); median 9,557
Hazardous waste exported	Canada	2007	4.52398e+08	`WEIGHT_TN`	275x the indicator’s p99 (1.647e+06); median 9,557
Hazardous waste exported	Japan	2007	4.9e+07	`WEIGHT_TN`	30x the indicator’s p99 (1.647e+06); median 9,557
Hazardous waste exported	Mexico	2007	1.51365e+08	`WEIGHT_TN`	92x the indicator’s p99 (1.647e+06); median 9,557
Hazardous waste generated, per capita	Brunei	2016	1.25754e+07	`WEIGHT_KG`	111x the indicator’s p99 (1.135e+05); median 22.61
Hazardous waste generated, per capita	Brunei	2017	3.60643e+07	`WEIGHT_KG`	318x the indicator’s p99 (1.135e+05); median 22.61
Hazardous waste generated, per capita	Brunei	2018	8.7562e+06	`WEIGHT_KG`	77x the indicator’s p99 (1.135e+05); median 22.61
Hazardous waste generated, per capita	Brunei	2019	8.68e+06	`WEIGHT_KG`	76x the indicator’s p99 (1.135e+05); median 22.61
Hazardous waste generated, per capita	Brunei	2020	1.17738e+07	`WEIGHT_KG`	104x the indicator’s p99 (1.135e+05); median 22.61
Hazardous waste generated, per capita	Brunei	2021	1.36885e+07	`WEIGHT_KG`	121x the indicator’s p99 (1.135e+05); median 22.61
Hazardous waste generated, per capita	Brunei	2022	1.89737e+07	`WEIGHT_KG`	167x the indicator’s p99 (1.135e+05); median 22.61
Hazardous waste generated, per capita	Brunei	2023	2.08613e+07	`WEIGHT_KG`	184x the indicator’s p99 (1.135e+05); median 22.61
Proportion of hazardous waste that is treated or disposed	Guatemala	2011	33022.7	`Percent`	57x the indicator’s p99 (574.8); median 87.94
Proportion of hazardous waste that is treated or disposed	Guatemala	2012	44825.7	`Percent`	78x the indicator’s p99 (574.8); median 87.94
Beach litter items per unit of surface area (Number of items per	Saudi Arabia	2015	9.36e+06	`RATIO_COUNT_PER_100_AREA_M2`	375x the indicator’s p99 (2.497e+04); median 68
Municipal waste recycled	South Africa	2018	1.85531e+09	`WEIGHT_TN`	32x the indicator’s p99 (5.724e+07); median 4.56e+05
Municipal waste recycled	South Africa	2019	3.44268e+09	`WEIGHT_TN`	60x the indicator’s p99 (5.724e+07); median 4.56e+05
Municipal waste recycled	South Africa	2021	2.21792e+09	`WEIGHT_TN`	39x the indicator’s p99 (5.724e+07); median 4.56e+05
Municipal waste recycled	South Africa	2022	1.46408e+09	`WEIGHT_TN`	26x the indicator’s p99 (5.724e+07); median 4.56e+05
Municipal waste recycled	South Africa	2023	1.32913e+09	`WEIGHT_TN`	23x the indicator’s p99 (5.724e+07); median 4.56e+05
Ratio of non-performing loans (net of provisions) to capital	Equatorial Guinea	2022	10133.9	`Percent`	48x the indicator’s p99 (210.7); median 9.138
Ratio of broad money to total reserves	Sierra Leone	2001	2801.8	`RATIO`	54x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2002	2073.49	`RATIO`	40x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2003	2875.55	`RATIO`	56x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2004	1599.11	`RATIO`	31x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2005	1438.47	`RATIO`	28x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2006	1582.73	`RATIO`	31x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2007	1561.99	`RATIO`	30x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2008	1946.48	`RATIO`	38x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2009	1253.72	`RATIO`	24x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2010	1311.76	`RATIO`	25x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2011	1448.51	`RATIO`	28x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2012	1625.24	`RATIO`	32x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2013	1618.8	`RATIO`	31x the indicator’s p99 (51.47); median 2.995
Ratio of broad money to total reserves	Sierra Leone	2014	1702.75	`RATIO`	33x the indicator’s p99 (51.47); median 2.995
Annual growth of broad money	Sierra Leone	2001	131119	`Percent`	1,573x the indicator’s p99 (83.38); median 11.19
Alternative conversion factor used by the Development Economics	Iran	2023	353510	`RATIO`	22x the indicator’s p99 (1.63e+04); median 6.732
Alternative conversion factor used by the Development Economics	Iran	2024	452865	`RATIO`	28x the indicator’s p99 (1.63e+04); median 6.732
Number of injured or ill people attributed to disasters	India	2018	1.41608e+08	`COUNT`	68x the indicator’s p99 (2.078e+06); median 96
Number of deaths and missing persons attributed to disasters	country/USA	2020	345950	`COUNT`	27x the indicator’s p99 (1.275e+04); median 44
Number of deaths and missing persons attributed to disasters	country/USA	2021	470644	`COUNT`	37x the indicator’s p99 (1.275e+04); median 44
Number of deaths due to disaster	United States	2020	345950	`COUNT`	27x the indicator’s p99 (1.275e+04); median 42
Number of deaths due to disaster	United States	2021	470644	`COUNT`	37x the indicator’s p99 (1.275e+04); median 42
Number of deaths and missing persons attributed to disasters per	Haiti	2010	2276.54	`RATIO_COUNT_PER_100000_COUNT_POP`	20x the indicator’s p99 (113.6); median 0.327
Number of people whose damaged dwellings were attributed to disa	India	2015	1.87873e+08	`COUNT`	75x the indicator’s p99 (2.491e+06); median 3,008
Number of people whose damaged dwellings were attributed to disa	India	2016	1.76836e+08	`COUNT`	71x the indicator’s p99 (2.491e+06); median 3,008
Number of people whose damaged dwellings were attributed to disa	India	2017	1.74547e+08	`COUNT`	70x the indicator’s p99 (2.491e+06); median 3,008
Number of people whose damaged dwellings were attributed to disa	India	2019	5.33247e+07	`COUNT`	21x the indicator’s p99 (2.491e+06); median 3,008
Detected victims of human trafficking for removal of organ	Malaysia	2016	676	`COUNT`	26x the indicator’s p99 (26); median 0
Mother-to-child HIV transmission rate	Romania	1990	4959.81	`Percent`	53x the indicator’s p99 (93.77); median 35.19
Mother-to-child HIV transmission rate	Romania	1991	4221.38	`Percent`	45x the indicator’s p99 (93.77); median 35.19
Mother-to-child HIV transmission rate	Romania	1992	2706.58	`Percent`	29x the indicator’s p99 (93.77); median 35.19
Total burden of disease rate attributable to ultraviolet radiati	Niue	2002	131117	`RATIO_COUNT_DALY_PER_100000_COUNT_POP`	943x the indicator’s p99 (139.1); median 37.79
Death rate attributable to ultraviolet radiation	Niue	2002	2481.51	`RATIO_COUNT_DEATHS_PER_100000_COUNT_POP`	433x the indicator’s p99 (5.73); median 0.8

`percent_negative` — HIGH · 40 findings

A percentage below zero is not a measurement.

Indicator	Place	Year	Value	Unit
Net outbound official development assistance (ODA) to LDCs as a	Kuwait	2018	-0.430694	`Percent`
Net outbound official development assistance (ODA) to LDCs as a	Thailand	2010	-0.001692	`Percent`
Net outbound official development assistance (ODA) to landlocked	Kuwait	2019	-0.0012	`Percent`
Sustainable fisheries as a proportion of GDP	Malta	2023	-0.01	`Percent`
Fossil-fuel subsidies (consumption and production) as a proporti	Peru	2015	-0.07842	`Percent`
Fossil-fuel subsidies (consumption and production) as a proporti	Peru	2016	-0.06377	`Percent`
Fossil-fuel subsidies (consumption and production) as a proporti	Peru	2017	-0.05916	`Percent`
Fossil-fuel subsidies (consumption and production) as a proporti	Peru	2018	-0.06329	`Percent`
Fossil-fuel subsidies (consumption and production) as a proporti	Peru	2021	-0.05636	`Percent`
Fossil-fuel subsidies (consumption and production) as a proporti	Peru	2022	-0.31737	`Percent`
Fossil-fuel subsidies (consumption and production) as a proporti	Peru	2023	-0.07154	`Percent`
Bank capital to assets ratio	Equatorial Guinea	2019	-0.706329	`Percent`
Bank capital to assets ratio	Equatorial Guinea	2020	-0.170105	`Percent`
Bank capital to assets ratio	Equatorial Guinea	2021	-1.32253	`Percent`
Bank capital to assets ratio	Equatorial Guinea	2023	-6.40253	`Percent`
Bank capital to assets ratio	Greece	2011	-1.26152	`Percent`
Bank capital to assets ratio	Chad	2023	-1.04363	`Percent`
Ratio of regulatory capital to assets	Anguilla	2015	-2.85217	`Percent`
Ratio of regulatory capital to assets	Equatorial Guinea	2019	-0.706329	`Percent`
Ratio of regulatory capital to assets	Equatorial Guinea	2020	-0.170105	`Percent`
Ratio of regulatory capital to assets	Equatorial Guinea	2021	-1.32253	`Percent`
Ratio of regulatory capital to assets	Equatorial Guinea	2023	-6.40253	`Percent`
Ratio of regulatory capital to assets	Greece	2011	-1.26152	`Percent`
Ratio of regulatory capital to assets	Chad	2023	-1.04363	`Percent`
Ratio of regulatory tier-1 capital to risk-weighted assets	Anguilla	2015	-5.01916	`Percent`
Ratio of regulatory tier-1 capital to risk-weighted assets	Equatorial Guinea	2019	-1.60593	`Percent`
Ratio of regulatory tier-1 capital to risk-weighted assets	Equatorial Guinea	2020	-0.402557	`Percent`
Ratio of regulatory tier-1 capital to risk-weighted assets	Equatorial Guinea	2021	-4.96672	`Percent`
Ratio of regulatory tier-1 capital to risk-weighted assets	Equatorial Guinea	2023	-17.5032	`Percent`
Ratio of regulatory tier-1 capital to risk-weighted assets	Greece	2011	-2.62288	`Percent`
Ratio of regulatory tier-1 capital to risk-weighted assets	Chad	2023	-1.62065	`Percent`
Primary government expenditures as a proportion of original appr	Kiribati	2018	-7.54	`Percent`
Primary government expenditures as a proportion of original appr	Kiribati	2020	-17.875	`Percent`
Average remittance costs of sending $200 to a receiving country	Myanmar	2022	-0.56	`Percent`
Average remittance costs of sending $200 to a receiving country	Malawi	2023	-0.1	`Percent`
Average remittance costs of sending $200 to a receiving country	Malawi	2024	-0.93	`Percent`
Average remittance costs of sending $200 for a sending country a	Ghana	2022	-4.04	`Percent`
Tourism direct GDP as a proportion of total GDP	Fiji	2021	-0.1	`Percent`
Official Development Assitance (ODA) inflow as a Proportion of G	China	2024	-0.00158867	`Percent`
Official Development Assitance (ODA) inflow as a Proportion of G	Grenada	2024	-8.18762	`Percent`

`negative_count` — HIGH · 12 findings

A count of things cannot be negative.

Indicator	Place	Year	Value	Unit
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1990	-15.6135	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1991	-15.6396	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1992	-15.6184	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1993	-15.6091	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1994	-15.6042	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1995	-15.6313	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1996	-15.6335	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1997	-15.663	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1998	-15.6751	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	1999	-15.6694	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	2000	-15.679	`COUNT_INFECTIONS`
New HIV infections averted by prevention of mother-to-child tran	Mozambique	2001	-15.6912	`COUNT_INFECTIONS`

`rate_over_scale` — HIGH · 4 findings

The rate exceeds its own denominator. Written expecting ‘more events than there are people to have them’ — but all four hits are disaster-affected persons per 100,000, where a person counts once per disaster, so exceeding the population is correct for a country hit repeatedly in one year. The check stands because the same shape on a rate that cannot repeat would be a real error; the premise, as written, was wrong.

Indicator	Place	Year	Value	Unit	Detail
Number of directly affected persons attributed to disasters per	Barbados	2021	105025	`RATIO_COUNT_PER_100000_COUNT_POP`	cap 100,000
Number of directly affected persons attributed to disasters per	Marshall Islands	2020	132810	`RATIO_COUNT_PER_100000_COUNT_POP`	cap 100,000
Number of directly affected persons attributed to disasters per	Marshall Islands	2022	132031	`RATIO_COUNT_PER_100000_COUNT_POP`	cap 100,000
Number of directly affected persons attributed to disasters per	Palau	2021	112467	`RATIO_COUNT_PER_100000_COUNT_POP`	cap 100,000

`jump` — MEDIUM · 918 findings

Changed by a factor of 10+ in one year, by a margin worth 5%+ of the series’ own range. A real shock, a revision, or a units change. Only run on non-negative counts, rates and percentages — a ratio means nothing on a signed index.

Showing the first 60 of 918. The full set is in the JSON beside this page.

Indicator	Place	Year	Value	Unit	Detail
Average monthly earnings of employees in local currency	Azerbaijan	2005	123.6	`CR_LCU`	497081 (2004) -> 123.6 (2005), x0.0
Average monthly earnings of employees in local currency	Czech Republic	2005	517.309	`CR_LCU`	16930 (2004) -> 517.309 (2005), x0.0
Average monthly earnings of employees in local currency	Egypt	2008	71.235	`CR_LCU`	1091.16 (2007) -> 71.235 (2008), x0.1
Average monthly earnings of employees in local currency	Estonia	2004	414.163	`CR_LCU`	6723 (2003) -> 414.163 (2004), x0.1
Average monthly earnings of employees in local currency	Hungary	2005	459.119	`CR_LCU`	145187 (2004) -> 459.119 (2005), x0.0
Average monthly earnings of employees in local currency	Malta	2001	356.967	`CR_LCU`	2.2 (2000) -> 356.967 (2001), x162.3
Average monthly earnings of employees in local currency	Malta	2004	2.601	`CR_LCU`	410.823 (2003) -> 2.601 (2004), x0.0
Average monthly earnings of employees in local currency	Portugal	2002	610.432	`CR_LCU`	116026 (2001) -> 610.432 (2002), x0.0
Average monthly earnings of employees in local currency	Romania	2005	968	`CR_LCU`	8.18332e+06 (2004) -> 968 (2005), x0.0
Average monthly earnings of employees in local currency	San Marino	2002	1832.07	`CR_LCU`	3.28727e+06 (2001) -> 1832.07 (2002), x0.0
Average monthly earnings of employees in local currency	Slovakia	2005	354.367	`CR_LCU`	15825 (2004) -> 354.367 (2005), x0.0
Average monthly earnings of employees in local currency	Slovenia	2005	1217.37	`CR_LCU`	267571 (2004) -> 1217.37 (2005), x0.0
Average monthly earnings of employees in local currency	country/VEN	2008	1108.85	`CR_LCU`	837002 (2007) -> 1108.85 (2008), x0.0
Average monthly earnings of employees in local currency	country/VEN	2017	271673	`CR_LCU`	22498.6 (2016) -> 271673 (2017), x12.1
Average monthly earnings of employees in international dollars a	Egypt	2008	54.425	`CR_USD_PPP_2021`	949.905 (2007) -> 54.425 (2008), x0.1
Average monthly earnings of employees in international dollars a	Estonia	2004	768.711	`CR_USD_PPP_2021`	12683.3 (2003) -> 768.711 (2004), x0.1
Average monthly earnings of employees in international dollars a	Malta	2009	2408.26	`CR_USD_PPP_2021`	10.581 (2008) -> 2408.26 (2009), x227.6
Average monthly earnings of employees in international dollars a	Slovakia	2005	576.731	`CR_USD_PPP_2021`	25432.2 (2004) -> 576.731 (2005), x0.0
Average monthly earnings of employees in international dollars a	Slovenia	2005	1837.69	`CR_USD_PPP_2021`	409211 (2004) -> 1837.69 (2005), x0.0
Average monthly earnings of employees in US dollars	Egypt	2008	13.113	`CR_USD`	193.625 (2007) -> 13.113 (2008), x0.1
Average monthly earnings of employees in US dollars	Estonia	2004	32.882	`CR_USD`	485.191 (2003) -> 32.882 (2004), x0.1
Average monthly earnings of employees in US dollars	Estonia	2011	1451.63	`CR_USD`	88.145 (2010) -> 1451.63 (2011), x16.5
Average monthly earnings of employees in US dollars	Liberia	2017	1308.61	`CR_USD`	121.549 (2016) -> 1308.61 (2017), x10.8
Average monthly earnings of employees in US dollars	Malta	2009	2189.01	`CR_USD`	10.214 (2008) -> 2189.01 (2009), x214.3
Average monthly earnings of employees in US dollars	Slovakia	2005	11.425	`CR_USD`	490.593 (2004) -> 11.425 (2005), x0.0
Average monthly earnings of employees in US dollars	Slovakia	2009	1231.94	`CR_USD`	34.03 (2008) -> 1231.94 (2009), x36.2
Average monthly earnings of employees in US dollars	Slovenia	2005	6.317	`CR_USD`	1390.84 (2004) -> 6.317 (2005), x0.0
Average monthly earnings of employees in US dollars	Slovenia	2007	2179.93	`CR_USD`	6.53 (2006) -> 2179.93 (2007), x333.8
Monthly minimum wage in local currency	Belarus	2016	239.42	`CR_LCU`	2.18006e+06 (2015) -> 239.42 (2016), x0.0
Monthly minimum wage in local currency	Ecuador	2024	39.167	`CR_LCU`	450 (2023) -> 39.167 (2024), x0.1
Monthly minimum wage in local currency	Egypt	2010	400	`CR_LCU`	35 (2009) -> 400 (2010), x11.4
Monthly minimum wage in local currency	Mauritania	2008	2104.09	`CR_LCU`	21041 (2007) -> 2104.09 (2008), x0.1
Monthly minimum wage in local currency	Rwanda	2008	2600	`CR_LCU`	56298.7 (2007) -> 2600 (2008), x0.0
Monthly minimum wage in local currency	Sierra Leone	2014	500000	`CR_LCU`	21000 (2013) -> 500000 (2014), x23.8
Monthly minimum wage in local currency	Sierra Leone	2022	600	`CR_LCU`	600000 (2021) -> 600 (2022), x0.0
Monthly minimum wage in local currency	country/UGA	2017	130000	`CR_LCU`	6000 (2016) -> 130000 (2017), x21.7
Monthly minimum wage in local currency	country/URY	2024	1855.67	`CR_LCU`	22268 (2023) -> 1855.67 (2024), x0.1
Monthly minimum wage in local currency	country/VEN	2019	1.125e+07	`CR_LCU`	450000 (2018) -> 1.125e+07 (2019), x25.0
Monthly minimum wage in local currency	country/VEN	2022	130	`CR_LCU`	7e+06 (2021) -> 130 (2022), x0.0
Monthly minimum wage in local currency	country/ZMB	2008	268	`CR_LCU`	268000 (2007) -> 268 (2008), x0.0
Monthly minimum wage in international dollars at Purchasing Powe	Ecuador	2024	86.994	`CR_USD_PPP_2021`	985.897 (2023) -> 86.994 (2024), x0.1
Monthly minimum wage in international dollars at Purchasing Powe	Egypt	2010	248.9	`CR_USD_PPP_2021`	23.841 (2009) -> 248.9 (2010), x10.4
Monthly minimum wage in international dollars at Purchasing Powe	Rwanda	2008	11.501	`CR_USD_PPP_2021`	276.846 (2007) -> 11.501 (2008), x0.0
Monthly minimum wage in international dollars at Purchasing Powe	Slovakia	2009	498.467	`CR_USD_PPP_2021`	6397.75 (2008) -> 498.467 (2009), x0.1
Monthly minimum wage in international dollars at Purchasing Powe	Slovenia	2007	763.344	`CR_USD_PPP_2021`	116837 (2006) -> 763.344 (2007), x0.0
Monthly minimum wage in international dollars at Purchasing Powe	Uganda	2017	106.629	`CR_USD_PPP_2021`	5.123 (2016) -> 106.629 (2017), x20.8
Monthly minimum wage in international dollars at Purchasing Powe	Uruguay	2024	63.337	`CR_USD_PPP_2021`	774.071 (2023) -> 63.337 (2024), x0.1
Monthly minimum wage in US dollars	Ecuador	2024	39.167	`CR_USD`	450 (2023) -> 39.167 (2024), x0.1
Monthly minimum wage in US dollars	Egypt	2010	71.15	`CR_USD`	6.313 (2009) -> 71.15 (2010), x11.3
Monthly minimum wage in US dollars	Rwanda	2008	4.755	`CR_USD`	102.931 (2007) -> 4.755 (2008), x0.0
Monthly minimum wage in US dollars	Uganda	2017	35.999	`CR_USD`	1.754 (2016) -> 35.999 (2017), x20.5
Monthly minimum wage in US dollars	Uruguay	2024	46.146	`CR_USD`	573.564 (2023) -> 46.146 (2024), x0.1
Low pay rate	Azerbaijan	2003	80	`Percent`	6 (2002) -> 80 (2003), x13.3
Share of temporary employees	Bulgaria	2001	6.172	`Percent`	100 (2000) -> 6.172 (2001), x0.1
Share of temporary employees	Moldova	2006	7.698	`Percent`	96.528 (2005) -> 7.698 (2006), x0.1
Part-time (defined as less than 35 actual weekly hours) employme	Poland	2021	0.45	`Percent`	5.925 (2020) -> 0.45 (2021), x0.1
Employment (previous ILO definition - ICLS13)	country/PHL	2002	3.0062e+07	`COUNT_PERSONS`	2.41894e+06 (2001) -> 3.0062e+07 (2002), x12.4
Collective bargaining coverage rate	Colombia	2013	10.7	`Percent`	0.9 (2012) -> 10.7 (2013), x11.9
Days lost due to cases of occupational injury with temporary inc	Cuba	2009	3.9109e+08	`TIME_DS`	302563 (2008) -> 3.9109e+08 (2009), x1292.6
Days lost due to cases of occupational injury with temporary inc	Senegal	2021	44	`TIME_DS`	616 (2020) -> 44 (2021), x0.1

`percent_over_100` — MEDIUM · 300 findings

Above 100%. Sometimes correct — gross enrolment ratios count pupils outside the nominal age band in the numerator only, and Kuwait’s water stress genuinely exceeds its renewable resources — and sometimes it is Malaysia recycling 147.7% of its municipal waste. Needs a human.

Showing the first 60 of 300. The full set is in the JSON beside this page.

Indicator	Place	Year	Value	Unit
Female share of low pay earners	Russia	2021	119.29	`Percent`
Female share of low pay earners	Serbia	2018	100.5	`Percent`
Current account balance as a proportion of GDP	country/TLS	2006	119.207	`Percent`
Current account balance as a proportion of GDP	country/TLS	2007	216.878	`Percent`
Current account balance as a proportion of GDP	country/TLS	2008	311.746	`Percent`
Current account balance as a proportion of GDP	country/TLS	2009	176.763	`Percent`
Current account balance as a proportion of GDP	country/TLS	2010	189.518	`Percent`
Current account balance as a proportion of GDP	country/TLS	2011	225.033	`Percent`
Current account balance as a proportion of GDP	country/TLS	2012	235.751	`Percent`
Current account balance as a proportion of GDP	country/TLS	2013	171.239	`Percent`
Debt service as a proportion of exports of goods and services	Burundi	2004	134.722	`Percent`
Debt service as a proportion of exports of goods and services	Liberia	2007	114.387	`Percent`
Debt service as a proportion of exports of goods and services	Liberia	2008	119.68	`Percent`
Debt service as a proportion of exports of goods and services	Sierra Leone	2001	112.303	`Percent`
Proportion of municipal waste recycled	Malaysia	2017	112.006	`Percent`
Proportion of municipal waste recycled	Malaysia	2018	128.663	`Percent`
Proportion of municipal waste recycled	Malaysia	2019	147.665	`Percent`
Proportion of municipal waste recycled	Malaysia	2020	177.658	`Percent`
Change in minimum river flow (%)	Aruba	2013	119.532	`Percent`
Change in minimum river flow (%)	Aruba	2014	117.923	`Percent`
Change in minimum river flow (%)	Anguilla	2012	142.85	`Percent`
Change in minimum river flow (%)	Anguilla	2013	150.815	`Percent`
Change in minimum river flow (%)	Anguilla	2014	132.678	`Percent`
Change in minimum river flow (%)	Anguilla	2015	128.987	`Percent`
Change in minimum river flow (%)	Anguilla	2016	130.936	`Percent`
Change in minimum river flow (%)	Bahrain	2019	155.081	`Percent`
Change in minimum river flow (%)	Bahrain	2020	171.328	`Percent`
Change in minimum river flow (%)	Bahrain	2021	179.809	`Percent`
Change in minimum river flow (%)	Bahrain	2022	143.066	`Percent`
Change in minimum river flow (%)	Curaçao	2013	137.686	`Percent`
Change in minimum river flow (%)	Curaçao	2014	140.903	`Percent`
Change in minimum river flow (%)	Guadeloupe	2014	111.213	`Percent`
Change in minimum river flow (%)	Guadeloupe	2015	106.629	`Percent`
Change in minimum river flow (%)	Guadeloupe	2016	106.244	`Percent`
Change in minimum river flow (%)	Kiribati	2005	167.621	`Percent`
Change in minimum river flow (%)	Kiribati	2006	171.125	`Percent`
Change in minimum river flow (%)	Kiribati	2007	171.139	`Percent`
Change in minimum river flow (%)	Saint Kitts and Nevis	2006	103.448	`Percent`
Change in minimum river flow (%)	Saint Kitts and Nevis	2007	111.445	`Percent`
Change in minimum river flow (%)	Saint Kitts and Nevis	2008	112.295	`Percent`
Change in minimum river flow (%)	Saint Kitts and Nevis	2009	119.286	`Percent`
Change in minimum river flow (%)	Kuwait	2024	103.454	`Percent`
Change in minimum river flow (%)	Oman	2013	173.046	`Percent`
Change in minimum river flow (%)	Oman	2014	167.543	`Percent`
Change in minimum river flow (%)	Oman	2015	168.938	`Percent`
Change in minimum river flow (%)	Oman	2016	168.257	`Percent`
Change in minimum river flow (%)	country/QAT	2018	190.554	`Percent`
Change in minimum river flow (%)	country/QAT	2019	228.333	`Percent`
Change in minimum river flow (%)	country/QAT	2020	145.267	`Percent`
Change in minimum river flow (%)	country/QAT	2021	168.466	`Percent`
Change in minimum river flow (%)	country/QAT	2022	166.106	`Percent`
Change in minimum river flow (%)	country/SAU	2024	115.452	`Percent`
Change in minimum river flow (%)	country/VGB	2015	170.853	`Percent`
Change in minimum river flow (%)	country/VGB	2016	155.613	`Percent`
Change in maximum river flow (%)	Aruba	2012	117.745	`Percent`
Change in maximum river flow (%)	Aruba	2013	125.279	`Percent`
Change in maximum river flow (%)	United Arab Emirates	2017	112.277	`Percent`
Change in maximum river flow (%)	United Arab Emirates	2018	121.539	`Percent`
Change in maximum river flow (%)	United Arab Emirates	2021	180.334	`Percent`
Change in maximum river flow (%)	United Arab Emirates	2022	128.086	`Percent`

`shared_value` — MEDIUM · 200 findings

An identical value carrying 3+ decimals, in 5+ countries for the same year. Countries do not agree to that precision by chance; this is the shape of a modelled default.

Showing the first 60 of 200. The full set is in the JSON beside this page.

Indicator	Place	Year	Value	Unit	Detail
Net outbound official development assistance (ODA) to small isla	5 countries	2012	0.0024	`Percent`	Bulgaria, Latvia, Poland, Romania, Slovakia
Net outbound official development assistance (ODA) to small isla	5 countries	2021	0.0019	`Percent`	Bulgaria, Estonia, Kuwait, Latvia, Romania
Alternative conversion factor used by the Development Economics	5 countries	2000	1.08271	`RATIO`	Andorra, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	13 countries	2000	1.08271	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +5
Alternative conversion factor used by the Development Economics	13 countries	2000	710.208	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	13 countries	2001	1.11653	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +5
Alternative conversion factor used by the Development Economics	13 countries	2001	732.398	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	13 countries	2002	1.05756	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +5
Alternative conversion factor used by the Development Economics	12 countries	2002	693.713	`RATIO`	Benin, Burkina Faso, Central African Republic, Congo [Republic], Côte
Alternative conversion factor used by the Development Economics	13 countries	2003	0.884048	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +5
Alternative conversion factor used by the Development Economics	13 countries	2003	579.897	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	13 countries	2004	0.803922	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +5
Alternative conversion factor used by the Development Economics	13 countries	2004	527.338	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	13 countries	2005	0.8038	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +5
Alternative conversion factor used by the Development Economics	13 countries	2005	527.258	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	13 countries	2006	0.796433	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +5
Alternative conversion factor used by the Development Economics	13 countries	2006	522.426	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	14 countries	2007	0.729672	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +6
Alternative conversion factor used by the Development Economics	13 countries	2007	478.634	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	14 countries	2008	0.679923	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +6
Alternative conversion factor used by the Development Economics	13 countries	2008	446	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	14 countries	2009	0.716958	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +6
Alternative conversion factor used by the Development Economics	5 countries	2009	0.716958	`RATIO`	Andorra, Cyprus, Monaco, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	13 countries	2009	470.293	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	14 countries	2010	0.754309	`RATIO`	Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy +6
Alternative conversion factor used by the Development Economics	7 countries	2010	0.754309	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	14 countries	2010	494.794	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	15 countries	2011	0.718414	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	7 countries	2011	0.718414	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	14 countries	2011	471.249	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	7 countries	2012	0.778338	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	15 countries	2012	0.778338	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	14 countries	2012	510.556	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	7 countries	2013	0.752945	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	15 countries	2013	0.752945	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	14 countries	2013	493.9	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	7 countries	2014	0.752728	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	16 countries	2014	0.752728	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	14 countries	2014	493.757	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	7 countries	2015	0.901296	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	17 countries	2015	0.901296	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	14 countries	2015	591.212	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	7 countries	2016	0.903421	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	17 countries	2016	0.903421	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	14 countries	2016	592.606	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	17 countries	2017	0.885206	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	7 countries	2017	0.885206	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	14 countries	2017	580.657	`RATIO`	Benin, Burkina Faso, Cameroon, Central African Republic, Congo [Republ
Alternative conversion factor used by the Development Economics	17 countries	2018	0.846773	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	7 countries	2018	0.846773	`RATIO`	Andorra, Cyprus, Malta, Monaco, Montenegro, Saint Martin, country/SMR
Alternative conversion factor used by the Development Economics	13 countries	2018	555.446	`RATIO`	Benin, Burkina Faso, Central African Republic, Congo [Republic], Côte
Alternative conversion factor used by the Development Economics	5 countries	2019	0.893276	`RATIO`	Andorra, Cyprus, Malta, Monaco, Saint Martin
Alternative conversion factor used by the Development Economics	17 countries	2019	0.893276	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	13 countries	2019	585.911	`RATIO`	Benin, Burkina Faso, Central African Republic, Congo [Republic], Côte
Alternative conversion factor used by the Development Economics	5 countries	2020	0.875506	`RATIO`	Andorra, Cyprus, Malta, Monaco, Saint Martin
Alternative conversion factor used by the Development Economics	17 countries	2020	0.875506	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	13 countries	2020	575.586	`RATIO`	Burkina Faso, Cameroon, Central African Republic, Congo [Republic], Cô
Alternative conversion factor used by the Development Economics	5 countries	2021	0.845494	`RATIO`	Andorra, Cyprus, Malta, Monaco, Saint Martin
Alternative conversion factor used by the Development Economics	17 countries	2021	0.845494	`RATIO`	Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland +
Alternative conversion factor used by the Development Economics	13 countries	2021	554.531	`RATIO`	Burkina Faso, Cameroon, Central African Republic, Congo [Republic], Cô

`flatline` — LOW · 1,546 findings

6+ consecutive identical non-zero values. Either nothing changed, or a figure is being carried forward.

Showing the first 60 of 1,546. The full set is in the JSON beside this page.

Indicator	Place	Year	Value	Unit	Detail
Monthly minimum wage in international dollars at Purchasing Powe	United States	2000	893	`CR_USD_PPP_2021`	8 consecutive years 2000–2007
Monthly minimum wage in international dollars at Purchasing Powe	United States	2010	1257	`CR_USD_PPP_2021`	16 consecutive years 2010–2025
Monthly minimum wage in US dollars	Antigua and Barbuda	2013	526.015	`CR_USD`	10 consecutive years 2013–2022
Monthly minimum wage in US dollars	Bahrain	2018	797.872	`CR_USD`	7 consecutive years 2018–2024
Monthly minimum wage in US dollars	Bahamas	2002	693	`CR_USD`	6 consecutive years 2002–2007
Monthly minimum wage in US dollars	Bahamas	2008	650	`CR_USD`	7 consecutive years 2008–2014
Monthly minimum wage in US dollars	Bahamas	2015	910	`CR_USD`	8 consecutive years 2015–2022
Monthly minimum wage in US dollars	Belize	2012	321.75	`CR_USD`	11 consecutive years 2012–2022
Monthly minimum wage in US dollars	Barbados	2012	541.667	`CR_USD`	9 consecutive years 2012–2020
Monthly minimum wage in US dollars	Dominica	2008	308.148	`CR_USD`	13 consecutive years 2008–2020
Monthly minimum wage in US dollars	Grenada	2011	337.037	`CR_USD`	12 consecutive years 2011–2022
Monthly minimum wage in US dollars	Saint Kitts and Nevis	2008	513.58	`CR_USD`	6 consecutive years 2008–2013
Monthly minimum wage in US dollars	Saint Kitts and Nevis	2014	577.778	`CR_USD`	11 consecutive years 2014–2024
Monthly minimum wage in US dollars	Lebanon	2012	447.761	`CR_USD`	10 consecutive years 2012–2021
Monthly minimum wage in US dollars	Liberia	2014	91	`CR_USD`	11 consecutive years 2014–2024
Monthly minimum wage in US dollars	Marshall Islands	2016	624	`CR_USD`	6 consecutive years 2016–2021
Monthly minimum wage in US dollars	Oman	2013	845.254	`CR_USD`	12 consecutive years 2013–2024
Monthly minimum wage in US dollars	Palau	2016	728	`CR_USD`	8 consecutive years 2016–2023
Monthly minimum wage in US dollars	East Timor	2012	115	`CR_USD`	13 consecutive years 2012–2024
Monthly minimum wage in US dollars	United States	2000	893	`CR_USD`	8 consecutive years 2000–2007
Monthly minimum wage in US dollars	United States	2010	1257	`CR_USD`	15 consecutive years 2010–2024
Monthly minimum wage in US dollars	country/VCT	2008	385.185	`CR_USD`	16 consecutive years 2008–2023
Mean weekly hours actually worked per employed person	New Zealand	2009	33	`TIME_HR`	12 consecutive years 2009–2020
Collective bargaining coverage rate	Austria	2000	98	`Percent`	20 consecutive years 2000–2019
Collective bargaining coverage rate	Belgium	2000	96	`Percent`	20 consecutive years 2000–2019
Collective bargaining coverage rate	Iceland	2009	90	`Percent`	11 consecutive years 2009–2019
Collective bargaining coverage rate	Italy	2000	99	`Percent`	20 consecutive years 2000–2019
Collective bargaining coverage rate	Luxembourg	2002	58	`Percent`	6 consecutive years 2002–2007
Labour inspectors per 10,000 employed persons	Japan	2012	0.46	`RATE`	6 consecutive years 2012–2017
Number of registered workplaces that could be selected for labou	Switzerland	2011	373000	`COUNT_WORKPLACES`	8 consecutive years 2011–2018
Number of registered workplaces that could be selected for labou	Norway	2016	250000	`COUNT_WORKPLACES`	9 consecutive years 2016–2024
Number of registered workplaces that could be selected for labou	Trinidad and Tobago	2015	26046	`COUNT_WORKPLACES`	8 consecutive years 2015–2022
Fixed-broadband subscriptions	Marshall Islands	2015	1000	`COUNT`	6 consecutive years 2015–2020
Fixed-broadband subscriptions	country/TUV	2011	450	`COUNT`	7 consecutive years 2011–2017
Fixed-broadband Internet 5 GB basket in US dollars	Ecuador	2018	23.41	`CR_USD`	6 consecutive years 2018–2023
Fixed-broadband Internet 5 GB basket in US dollars	Federated States of Micronesia	2018	20	`CR_USD`	8 consecutive years 2018–2025
Fixed-broadband Internet 5 GB basket in US dollars	Marshall Islands	2018	49.95	`CR_USD`	8 consecutive years 2018–2025
Fixed-broadband Internet 5 GB basket in US dollars	country/TLS	2018	49	`CR_USD`	8 consecutive years 2018–2025
Active mobile-broadband subscriptions	country/TLS	2018	400850	`COUNT`	7 consecutive years 2018–2024
Individuals who own a mobile phone	Bahrain	2018	100	`Percent`	7 consecutive years 2018–2024
State parties to Optional Protocol to the Convention on the Righ	Albania	2013	1	`CATEGORY_BINARY_TF`	13 consecutive years 2013–2025
State parties to Optional Protocol to the Convention on the Righ	Andorra	2014	1	`CATEGORY_BINARY_TF`	12 consecutive years 2014–2025
State parties to Optional Protocol to the Convention on the Righ	Argentina	2015	1	`CATEGORY_BINARY_TF`	11 consecutive years 2015–2025
State parties to Optional Protocol to the Convention on the Righ	Belgium	2014	1	`CATEGORY_BINARY_TF`	12 consecutive years 2014–2025
State parties to Optional Protocol to the Convention on the Righ	Benin	2019	1	`CATEGORY_BINARY_TF`	7 consecutive years 2019–2025
State parties to Optional Protocol to the Convention on the Righ	Bosnia and Herzegovina	2018	1	`CATEGORY_BINARY_TF`	8 consecutive years 2018–2025
State parties to Optional Protocol to the Convention on the Righ	Bolivia	2013	1	`CATEGORY_BINARY_TF`	13 consecutive years 2013–2025
State parties to Optional Protocol to the Convention on the Righ	Brazil	2017	1	`CATEGORY_BINARY_TF`	9 consecutive years 2017–2025
State parties to Optional Protocol to the Convention on the Righ	Switzerland	2017	1	`CATEGORY_BINARY_TF`	9 consecutive years 2017–2025
State parties to Optional Protocol to the Convention on the Righ	Chile	2015	1	`CATEGORY_BINARY_TF`	11 consecutive years 2015–2025
State parties to Optional Protocol to the Convention on the Righ	Costa Rica	2014	1	`CATEGORY_BINARY_TF`	12 consecutive years 2014–2025
State parties to Optional Protocol to the Convention on the Righ	Cyprus	2017	1	`CATEGORY_BINARY_TF`	9 consecutive years 2017–2025
State parties to Optional Protocol to the Convention on the Righ	Czech Republic	2015	1	`CATEGORY_BINARY_TF`	11 consecutive years 2015–2025
State parties to Optional Protocol to the Convention on the Righ	Germany	2013	1	`CATEGORY_BINARY_TF`	13 consecutive years 2013–2025
State parties to Optional Protocol to the Convention on the Righ	Denmark	2015	1	`CATEGORY_BINARY_TF`	11 consecutive years 2015–2025
State parties to Optional Protocol to the Convention on the Righ	Ecuador	2018	1	`CATEGORY_BINARY_TF`	8 consecutive years 2018–2025
State parties to Optional Protocol to the Convention on the Righ	Spain	2013	1	`CATEGORY_BINARY_TF`	13 consecutive years 2013–2025
State parties to Optional Protocol to the Convention on the Righ	Finland	2015	1	`CATEGORY_BINARY_TF`	11 consecutive years 2015–2025
State parties to Optional Protocol to the Convention on the Righ	France	2016	1	`CATEGORY_BINARY_TF`	10 consecutive years 2016–2025
State parties to Optional Protocol to the Convention on the Righ	Gabon	2012	1	`CATEGORY_BINARY_TF`	14 consecutive years 2012–2025

`flatline_zero` — LOW · 747 findings

10+ consecutive zeros. Often true of small states; occasionally a missing value written as 0.

Showing the first 60 of 747. The full set is in the JSON beside this page.

Indicator	Place	Year	Unit	Detail
Low pay rate	Sweden	2000	`Percent`	25 consecutive years 2000–2024
Days not worked due to strikes and lockouts	Singapore	2000	`TIME_DS`	11 consecutive years 2000–2010
Days not worked per 1000 workers due to strikes and lockouts	Slovakia	2009	`RATE`	16 consecutive years 2009–2024
Number of strikes and lockouts	Singapore	2000	`COUNT_CASES`	12 consecutive years 2000–2011
Number of workers involved in strikes and lockouts	Singapore	2000	`COUNT_PERSONS`	11 consecutive years 2000–2010
Internet users as a proportion of the population	Burundi	1975	`Percent`	21 consecutive years 1975–1995
Internet users as a proportion of the population	Botswana	1975	`Percent`	17 consecutive years 1975–1991
Internet users as a proportion of the population	Grenada	1975	`Percent`	21 consecutive years 1975–1995
Internet users as a proportion of the population	Maldives	1975	`Percent`	21 consecutive years 1975–1995
Internet users as a proportion of the population	country/SYR	1975	`Percent`	22 consecutive years 1975–1996
Internet users as a proportion of the population	country/TGO	1975	`Percent`	21 consecutive years 1975–1995
Internet users as a proportion of the population	country/THA	1975	`Percent`	16 consecutive years 1975–1990
Active mobile-broadband subscriptions	Cuba	2008	`COUNT`	10 consecutive years 2008–2017
Active mobile-broadband subscriptions per 100 inhabitants	Cuba	2008	`RATIO_COUNT_PER_100_COUNT_POP`	10 consecutive years 2008–2017
Mobile-network population coverage	country/PRK	1997	`Percent`	11 consecutive years 1997–2007
State parties to Convention on the Rights of the Child	Montenegro	1990	`CATEGORY_BINARY_TF`	16 consecutive years 1990–2005
State parties to Convention on the Rights of the Child	Palestinian Territories	1990	`CATEGORY_BINARY_TF`	24 consecutive years 1990–2013
State parties to Convention on the Rights of the Child	country/SOM	1990	`CATEGORY_BINARY_TF`	25 consecutive years 1990–2014
State parties to Convention on the Rights of the Child	country/SRB	1990	`CATEGORY_BINARY_TF`	11 consecutive years 1990–2000
State parties to Convention on the Rights of the Child	country/SSD	1990	`CATEGORY_BINARY_TF`	25 consecutive years 1990–2014
State parties to Convention on the Rights of the Child	country/TLS	1990	`CATEGORY_BINARY_TF`	13 consecutive years 1990–2002
State parties to Convention on the Rights of the Child	country/USA	1990	`CATEGORY_BINARY_TF`	36 consecutive years 1990–2025
Signatories to Convention on the Rights of Persons with Disabili	Afghanistan	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Angola	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Botswana	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Switzerland	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Congo [DRC]	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Cook Islands	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Djibouti	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Eritrea	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Gambia	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Equatorial Guinea	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Haiti	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Iran	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Iraq	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Kiribati	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Saint Kitts and Nevis	2007	`CATEGORY_BINARY_TF`	12 consecutive years 2007–2018
Signatories to Convention on the Rights of Persons with Disabili	Kuwait	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Liechtenstein	2007	`CATEGORY_BINARY_TF`	13 consecutive years 2007–2019
Signatories to Convention on the Rights of Persons with Disabili	Lesotho	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Marshall Islands	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Myanmar	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Mongolia	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Mauritania	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Niue	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Nauru	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Palestinian Territories	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Rwanda	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	Saudi Arabia	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/SOM	2007	`CATEGORY_BINARY_TF`	11 consecutive years 2007–2017
Signatories to Convention on the Rights of Persons with Disabili	country/SSD	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/STP	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/TJK	2007	`CATEGORY_BINARY_TF`	11 consecutive years 2007–2017
Signatories to Convention on the Rights of Persons with Disabili	country/TKM	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/TLS	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/TUV	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/VAT	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/VCT	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/VEN	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025
Signatories to Convention on the Rights of Persons with Disabili	country/ZWE	2007	`CATEGORY_BINARY_TF`	19 consecutive years 2007–2025

Suppressed as structural

A rule violated by most of an indicator’s observations is not a violation, it is the definition. These (indicator, check) pairs fired often enough to be structural and were dropped from the findings above — listed here because the list is itself a result.

305 suppressed groups covering 62,726 would-be findings.

`jump` — 91 indicators

Indicator	Unit	Fired	Of	Share
International financial flows to developing countries in support of clea	`CR_USD_K`	586	3,800 observations	15%
Total inbound official development assistance for biodiversity	`CR_USD_K`	391	3,003 observations	13%
New internal displacements	`COUNT`	372	2,297 observations	16%
Reported cases of cholera	`COUNT_CASES`	292	2,465 observations	12%
Direct economic loss attributed to disasters	`CR_USD`	259	1,769 observations	15%
Direct economic loss attributed to disasters relative to GDP	`Percent`	258	1,769 observations	15%
Number of directly affected persons attributed to disasters per 100,000	`RATIO_COUNT_PER_100000_COUNT_POP`	250	1,955 observations	13%
Number of people affected by disasters	`COUNT`	247	1,955 observations	13%
Chlorophyll-a deviations, remote sensing	`Percent`	244	3,448 observations	7%
Gross receipts by developing countries of mobilised private finance (MPF	`CR_USD`	228	1,066 observations	21%
Number of people whose damaged dwellings were attributed to disasters	`COUNT`	208	1,621 observations	13%
Number of people whose destroyed dwellings were attributed to disasters	`COUNT`	183	1,415 observations	13%
Total inbound official flows (commitments) for Aid for Trade	`CR_USD_K`	172	2,624 observations	7%
Number of injured or ill people attributed to disasters	`COUNT`	169	1,808 observations	9%
Number of deaths and missing persons attributed to disasters per 100,000	`RATIO_COUNT_PER_100000_COUNT_POP`	160	2,122 observations	8%
Number of deaths and missing persons attributed to disasters	`COUNT`	156	2,122 observations	7%
Number of deaths due to disaster	`COUNT`	149	2,107 observations	7%
Beach litter items per unit of surface area (Number of items per 100 squ	`RATIO_COUNT_PER_100_AREA_M2`	146	971 observations	15%
Number of people whose livelihoods were disrupted or destroyed, attribut	`COUNT`	115	1,051 observations	11%
Days not worked due to strikes and lockouts	`TIME_DS`	114	1,197 observations	10%
Total inbound official development assistance to medical research and ba	`CR_USD_K`	107	3,333 observations	3%
Direct economic loss resulting from damaged or destroyed critical infras	`CR_USD`	97	1,138 observations	9%
Internally displaced persons (IDPs)	`COUNT_PERSONS`	96	1,265 observations	8%
Monetary amount committed to public-private partnerships for infrastruct	`CR_USD`	90	2,683 observations	3%
Monetary amount committed to public-private partnerships for infrastruct	`CR_USD_K`	89	2,605 observations	3%
Number of workers involved in strikes and lockouts	`COUNT_PERSONS`	88	1,178 observations	7%
Number of damaged critical infrastructure attributed to disasters	`COUNT`	86	855 observations	10%
Number of people requiring interventions against neglected tropical dise	`COUNT`	84	2,910 observations	3%
Total official development assistance (gross disbursement) for technical	`CR_USD_K`	75	3,529 observations	2%
Number of disruptions to basic services attributed to disasters	`COUNT`	74	891 observations	8%
Gross receipts by developing countries of private grants	`CR_USD`	70	1,073 observations	7%
Total deaths and disappearances recorded during migration	`COUNT`	69	821 observations	8%
Number of refugees, by host country	`COUNT_PERSONS`	67	3,976 observations	2%
Number of destroyed or damaged educational facilities attributed to disa	`COUNT`	62	748 observations	8%
Inbound official development assistance grants for poverty reduction, as	`Percent`	61	3,350 observations	2%
Gross receipts by developing countries of official concessional sustaina	`CR_USD`	61	807 observations	8%
Days not worked per 1000 workers due to strikes and lockouts	`RATE`	53	668 observations	8%
Number of transboundary breeds with unknown risk status (number)	`COUNT`	51	4,772 observations	1%
Number of missing persons due to disaster	`COUNT`	47	1,489 observations	3%
Total inbound official flows for scholarships	`CR_USD_K`	45	2,554 observations	2%
Hazardous waste exported	`WEIGHT_TN`	42	1,148 observations	4%
Amount of tracked exported Environmentally Sound Technologies	`CR_USD`	41	2,430 observations	2%
Number of disruptions to health services attributed to disasters	`COUNT`	39	688 observations	6%
Average alcohol excise duty per hectolitre	`RATIO_CR_EUR_PER_VOL_HL`	39	323 observations	12%
Domestic expenditure on malaria	`CR_USD_K`	37	917 observations	4%
Gross receipts by developing countries of official non-concessional sust	`CR_USD`	33	796 observations	4%
Number of destroyed or damaged health facilities attributed to disasters	`COUNT`	33	628 observations	5%
Gross receipts by developing countries of official sustainable developme	`CR_USD`	31	326 observations	10%
Amount of tracked re-imported Environmentally Sound Technologies	`CR_USD`	30	602 observations	5%
Hazardous waste imported	`WEIGHT_TN`	30	1,021 observations	3%
Number of disruptions to educational services attributed to disasters	`COUNT`	30	731 observations	4%
Total inbound official flows (disbursement) for Aid for Trade	`CR_USD_K`	29	2,624 observations	1%
Amount of tracked re-exported Environmentally Sound Technologies	`CR_USD`	28	824 observations	3%
Number of disruptions to other basic services attributed to disasters	`COUNT`	28	564 observations	5%
Detected victims of human trafficking	`COUNT`	28	1,792 observations	2%
Total outbound official development assistance for biodiversity	`CR_USD_K`	26	566 observations	5%
Detected victims of human trafficking (per 100,000 population)	`RATIO_COUNT_PER_100000_COUNT_POP`	26	1,792 observations	1%
Number of other destroyed or damaged critical infrastructure units and f	`COUNT`	23	470 observations	5%
Hazardous waste treated or disposed	`WEIGHT_TN`	22	986 observations	2%
Direct economic loss to other damaged or destroyed productive assets att	`CR_USD`	20	835 observations	2%
Mobile-broadband Internet traffic within the country	`DATA_EB`	19	1,488 observations	1%
Mobile-broadband Internet traffic per subscription	`RATIO_DATA_GB_PER_COUNT_SUBS`	19	1,479 observations	1%
Total outbound official flows (commitments) for Aid for Trade	`CR_USD_K`	19	629 observations	3%
Total outbound official flows (disbursement) for Aid for Trade	`CR_USD_K`	19	629 observations	3%
Proportion of hazardous waste that is treated or disposed	`Percent`	19	900 observations	2%
Detected victims of human trafficking for forced labour, servitude and s	`COUNT`	17	1,204 observations	1%
Detected victims of human trafficking for forced labour, servitude and s	`RATIO_COUNT_PER_100000_COUNT_POP`	16	1,204 observations	1%
Average hourly earnings of employees in local currency	`CR_LCU`	15	964 observations	2%
Fixed-broadband Internet traffic	`DATA_EB`	15	1,075 observations	1%
Detected victims of human trafficking for other purposes	`COUNT`	15	1,250 observations	1%
Hazardous waste generated, per capita	`WEIGHT_KG`	14	1,298 observations	1%
Detected victims of human trafficking for other purposes (per 100,000 po	`RATIO_COUNT_PER_100000_COUNT_POP`	14	1,250 observations	1%
Fixed-broadband Internet traffic per subscription	`RATIO_DATA_GB_PER_COUNT_SUBS`	13	1,063 observations	1%
Average hourly earnings of employees in international dollars at Purchas	`CR_USD_PPP_2021`	12	920 observations	1%
Average hourly earnings of employees in US dollars	`CR_USD`	12	901 observations	1%
Outbound official development assistance grants for poverty reduction, a	`Percent`	12	726 observations	2%
Net outbound official development assistance (ODA) to small island state	`Percent`	12	949 observations	1%
Proportion of the target population who received the final dose of human	`Percent`	12	1,129 observations	1%
Labour inspection visits per inspector	`RATE`	11	808 observations	1%
Gross receipts by developing countries of official sustainable developme	`CR_USD`	11	898 observations	1%
Number of labour inspection visits	`COUNT_CASES`	9	862 observations	1%
Agricultural export subsidies	`CR_USD`	8	635 observations	1%
Total electronic waste collected	`WEIGHT_TN`	8	785 observations	1%
Total electronic waste recycled	`WEIGHT_TN`	8	722 observations	1%
Number of conflict-related deaths (civilians)	`COUNT`	6	126 observations	5%
Electronic waste generated per capita	`WEIGHT_KG`	4	352 observations	1%
Total electronic waste generated	`WEIGHT_TN`	4	352 observations	1%
[World Bank] Proportion of population covered by labour market programs	`Percent`	4	294 observations	1%
Number of total conflict-related deaths	`COUNT`	4	117 observations	3%
Number of total conflict-related deaths per 100,000 population	`RATIO_COUNT_PER_100000_COUNT_POP`	4	116 observations	3%
Number of conflict-related deaths (unknown)	`COUNT`	3	24 observations	12%

`flatline` — 87 indicators

Indicator	Unit	Fired	Of	Share
Number of transboundary breeds (not extinct) (number)	`COUNT`	274	193 series	142%
Number of transboundary breeds (including extinct ones)	`COUNT`	271	193 series	140%
Average proportion of Terrestrial Key Biodiversity Areas (KBAs) covered	`Percent`	262	241 series	109%
Number of transboundary breeds with unknown risk status (number)	`COUNT`	255	193 series	132%
Number of local breeds kept in the country	`COUNT`	254	187 series	136%
Number of local breeds (not extinct)	`COUNT`	248	186 series	133%
Average proportion of Marine Key Biodiversity Areas (KBAs) covered by pr	`Percent`	218	191 series	114%
Number of local breeds with unknown risk status	`COUNT`	212	186 series	114%
Average proportion of Mountain Key Biodiversity Areas (KBAs) covered by	`Percent`	206	184 series	112%
State parties to Convention on the Rights of the Child	`CATEGORY_BINARY_TF`	199	200 series	100%
State parties to Convention on the Elimination of All Forms of Discrimin	`CATEGORY_BINARY_TF`	192	200 series	96%
Target HIV incidence-to-prevalence ratio	`RATIO`	192	193 series	99%
State parties to International Convention on the Elimination of All Form	`CATEGORY_BINARY_TF`	185	200 series	92%
State parties to Convention on the Rights of Persons with Disabilities	`CATEGORY_BINARY_TF`	183	200 series	92%
Average proportion of Freshwater Key Biodiversity Areas (KBAs) covered b	`Percent`	180	164 series	110%
State parties to Optional Protocol to the Convention on the Rights of th	`CATEGORY_BINARY_TF`	179	200 series	90%
State parties to Convention against Torture and Other Cruel, Inhuman or	`CATEGORY_BINARY_TF`	174	200 series	87%
State parties to International Covenant on Civil and Political Rights	`CATEGORY_BINARY_TF`	174	200 series	87%
State parties to International Covenant on Economic, Social and Cultural	`CATEGORY_BINARY_TF`	174	200 series	87%
State parties to Optional Protocol to the Convention on the Rights of th	`CATEGORY_BINARY_TF`	173	200 series	86%
Signatories to Convention on the Rights of Persons with Disabilities	`CATEGORY_BINARY_TF`	166	200 series	83%
Refugees by host country, per 1000 population	`RATIO_COUNT_PER_1000_COUNT_`	161	185 series	87%
Refugees by host country, per 1 USD GNI per capita	`RATIO_COUNT_PER_1_CR_USD_GNI_PER_COUNT_POP`	161	185 series	87%
Countries with death registration data that are at least 75 percent comp	`COUNT`	151	194 series	78%
Countries that are contracting Parties to the International Treaty on Pl	`COUNT`	146	246 series	59%
Countries with birth registration data that are at least 90 percent comp	`COUNT`	146	197 series	74%
Signatories to Convention on the Rights of the Child	`CATEGORY_BINARY_TF`	143	200 series	72%
Signatories to Optional Protocol to the Convention on the Rights of the	`CATEGORY_BINARY_TF`	133	200 series	66%
Mobile-network population coverage	`Percent`	130	225 series	58%
Universal health coverage index for reproductive, maternal, newborn and	`INDEX`	129	195 series	66%
Proportion of population covered by at least a 2G mobile network	`Percent`	126	225 series	56%
Signatories to Optional Protocol to the Convention on the Rights of the	`CATEGORY_BINARY_TF`	124	200 series	62%
State parties to Optional Protocol to the International Covenant on Civi	`CATEGORY_BINARY_TF`	119	199 series	60%
Countries with national statistical legislation that complies with the F	`COUNT`	118	195 series	61%
State parties to Optional Protocol to the Convention on the Elimination	`CATEGORY_BINARY_TF`	115	200 series	57%
Proportion of population with access to electricity	`Percent`	113	217 series	52%
Countries with National Human Rights Institutions in compliance with the	`COUNT`	105	194 series	54%
Signatories to Convention on the Elimination of All Forms of Discriminat	`CATEGORY_BINARY_TF`	102	200 series	51%
Monthly minimum wage in local currency	`CR_LCU`	101	174 series	58%
Countries with national statistical plans that are under implementation	`COUNT`	100	200 series	50%
Signatories to International Convention for the Protection of All Person	`CATEGORY_BINARY_TF`	99	199 series	50%
Target coverage of antiretroviral therapy among people living with HIV	`Percent`	98	163 series	60%
State parties to Optional Protocol to the Convention on the Rights of Pe	`CATEGORY_BINARY_TF`	97	200 series	48%
Signatories to Optional Protocol to the Convention on the Rights of Pers	`CATEGORY_BINARY_TF`	94	200 series	47%
State parties to Optional Protocol to the Convention against Torture and	`CATEGORY_BINARY_TF`	91	200 series	46%
Level of water stress: freshwater withdrawal as a proportion of availabl	`Percent`	91	182 series	50%
State parties to Second Optional Protocol to the International Covenant	`CATEGORY_BINARY_TF`	89	200 series	44%
Signatories to International Convention on the Elimination of All Forms	`CATEGORY_BINARY_TF`	89	200 series	44%
Level of national compliance with labour rights (freedom of association	`SCORE`	87	187 series	47%
Signatories to Convention against Torture and Other Cruel, Inhuman or De	`CATEGORY_BINARY_TF`	86	200 series	43%
Implementation of standard accounting tools to monitor the economic and	`COUNT`	86	176 series	49%
Population practicing open defecation	`Percent`	86	226 series	38%
Target percentage of people who know their HIV status who are on antiret	`Percent`	83	159 series	52%
Signatories to Optional Protocol to the Convention on the Elimination of	`CATEGORY_BINARY_TF`	81	200 series	40%
Target percentage of people living with HIV who know their HIV status	`Percent`	81	153 series	53%
Implementation of standard accounting tools to monitor the economic and	`COUNT`	78	176 series	44%
Prevalence of low birth weight	`Percent`	78	158 series	49%
Signatories to Optional Protocol to the Convention against Torture and O	`CATEGORY_BINARY_TF`	77	200 series	38%
Signatories to International Covenant on Civil and Political Rights	`CATEGORY_BINARY_TF`	77	200 series	38%
Proportion of countries with independent National Human Rights Instituti	`Percent`	77	194 series	40%
Signatories to International Covenant on Economic, Social and Cultural R	`CATEGORY_BINARY_TF`	75	200 series	38%
Proportion of local breeds classified as being at risk of extinction as	`Percent`	74	156 series	47%
Current number of seats in national parliaments	`COUNT`	68	191 series	36%
9.b.1 - Proportion of medium and high-tech industry value added in total	`INDEX`	65	138 series	47%
State parties to International Convention for the Protection of All Pers	`CATEGORY_BINARY_TF`	64	199 series	32%
Proportion of transboundary breeds classified as being at risk of extinc	`Percent`	64	145 series	44%
Proportion of population covered by at least a 3G mobile network	`Percent`	62	224 series	28%
Number of undernourished people	`COUNT`	62	138 series	45%
Countries with national statistical plans that are fully funded	`COUNT`	60	183 series	33%
Prevalence of undernourishment	`Percent`	59	169 series	35%
Proportion of the target population who received 3 doses of diphtheria-t	`Percent`	58	194 series	30%
State parties to International Convention on the Protection of the Right	`CATEGORY_BINARY_TF`	56	199 series	28%
Number of local governments	`COUNT`	54	132 series	41%
Signatories to Optional Protocol to the Convention on the Rights of the	`CATEGORY_BINARY_TF`	51	200 series	26%
Progress toward productive and sustainable agriculture, current status s	`SCORE`	50	195 series	26%
Implementation of standard accounting tools to monitor the economic and	`COUNT`	50	172 series	29%
Number of people per 100,000 that are covered by early warning informati	`INDEX`	49	110 series	45%
Countries with national statistical plans with funding from government	`COUNT`	46	176 series	26%
Percentage of local governments having a plan to act on early warnings	`INDEX`	46	101 series	46%
Target percentage of people receiving antiretroviral therapy for HIV who	`Percent`	45	141 series	32%
Target percentage of people living with HIV with viral load suppression	`Percent`	44	135 series	33%
Medium- and high-tech manufacturing value added share in total manufactu	`INDEX`	43	152 series	28%
Number of countries that have multi-hazard early warning systems (compou	`INDEX`	39	125 series	31%
Number of countries that have multi-hazard monitoring and forecasting sy	`INDEX`	38	88 series	43%
Plant genetic resources accessions stored ex situ	`COUNT`	37	118 series	31%
Number of countries that have accessible, understandable, usable and rel	`INDEX`	16	61 series	26%
Proportion of agricultural land area that has achieved an acceptable or	`Percent`	9	35 series	26%

`flatline_zero` — 60 indicators

Indicator	Unit	Fired	Of	Share
Mobile-cellular telephone subscriptions	`COUNT`	199	230 series	87%
Mobile-cellular subscriptions per 100 inhabitants	`RATIO_COUNT_PER_100_COUNT_POP`	199	230 series	87%
State parties to Optional Protocol to the International Covenant on Civi	`CATEGORY_BINARY_TF`	187	199 series	94%
Signatories to International Convention on the Protection of the Rights	`CATEGORY_BINARY_TF`	185	199 series	93%
State parties to International Convention on the Protection of the Right	`CATEGORY_BINARY_TF`	184	199 series	92%
Signatories to Optional Protocol to the International Covenant on Civil	`CATEGORY_BINARY_TF`	180	199 series	90%
Signatories to Second Optional Protocol to the International Covenant on	`CATEGORY_BINARY_TF`	175	200 series	88%
State parties to Optional Protocol to the International Covenant on Econ	`CATEGORY_BINARY_TF`	175	199 series	88%
State parties to International Covenant on Civil and Political Rights	`CATEGORY_BINARY_TF`	168	200 series	84%
State parties to International Covenant on Economic, Social and Cultural	`CATEGORY_BINARY_TF`	166	200 series	83%
State parties to Second Optional Protocol to the International Covenant	`CATEGORY_BINARY_TF`	158	200 series	79%
Forest area certified under an independently verified certification sche	`AREA_HA`	155	246 series	63%
Signatories to Optional Protocol to the International Covenant on Econom	`CATEGORY_BINARY_TF`	153	199 series	77%
State parties to Optional Protocol to the Convention on the Rights of th	`CATEGORY_BINARY_TF`	152	200 series	76%
Signatories to International Covenant on Civil and Political Rights	`CATEGORY_BINARY_TF`	152	200 series	76%
Signatories to International Covenant on Economic, Social and Cultural R	`CATEGORY_BINARY_TF`	151	200 series	76%
Signatories to Optional Protocol to the Convention on the Rights of the	`CATEGORY_BINARY_TF`	149	200 series	74%
Countries that have legislative, administrative and policy framework or	`COUNT`	149	246 series	61%
State parties to International Convention for the Protection of All Pers	`CATEGORY_BINARY_TF`	144	199 series	72%
State parties to Optional Protocol to the Convention against Torture and	`CATEGORY_BINARY_TF`	134	200 series	67%
Signatories to Convention against Torture and Other Cruel, Inhuman or De	`CATEGORY_BINARY_TF`	133	200 series	66%
Signatories to Optional Protocol to the Convention against Torture and O	`CATEGORY_BINARY_TF`	127	200 series	64%
Signatories to International Convention on the Elimination of All Forms	`CATEGORY_BINARY_TF`	127	200 series	64%
Signatories to Optional Protocol to the Convention on the Elimination of	`CATEGORY_BINARY_TF`	120	200 series	60%
State parties to International Convention on the Elimination of All Form	`CATEGORY_BINARY_TF`	115	200 series	57%
Pregnant women who received antiretrovirals for prevention of mother-to-	`COUNT_PERSONS_F`	114	166 series	69%
State parties to Convention against Torture and Other Cruel, Inhuman or	`CATEGORY_BINARY_TF`	112	200 series	56%
Signatories to Optional Protocol to the Convention on the Rights of Pers	`CATEGORY_BINARY_TF`	108	200 series	54%
State parties to Optional Protocol to the Convention on the Rights of Pe	`CATEGORY_BINARY_TF`	108	200 series	54%
Signatories to Convention on the Elimination of All Forms of Discriminat	`CATEGORY_BINARY_TF`	105	200 series	52%
Implementation of standard accounting tools to monitor the economic and	`COUNT`	105	172 series	61%
People receiving antiretroviral therapy for HIV	`COUNT_PERSONS`	104	150 series	69%
State parties to Optional Protocol to the Convention on the Elimination	`CATEGORY_BINARY_TF`	103	200 series	52%
Signatories to International Convention for the Protection of All Person	`CATEGORY_BINARY_TF`	102	199 series	51%
AIDS-related deaths averted by antiretroviral therapy	`COUNT_DEATHS`	102	143 series	71%
Population practicing open defecation	`Percent`	102	226 series	45%
State parties to Convention on the Elimination of All Forms of Discrimin	`CATEGORY_BINARY_TF`	101	200 series	50%
Coverage of antiretroviral therapy among people living with HIV	`Percent`	101	150 series	67%
Countries that are contracting Parties to the International Treaty on Pl	`COUNT`	100	246 series	41%
Minimum reservoir water area	`AREA_KM2`	97	236 series	41%
Maxiumum reservoir water area	`AREA_KM2`	97	236 series	41%
Proportion of countries with independent National Human Rights Instituti	`Percent`	97	194 series	50%
Signatories to Optional Protocol to the Convention on the Rights of the	`CATEGORY_BINARY_TF`	80	200 series	40%
New HIV infections averted by prevention of mother-to-child transmission	`COUNT_INFECTIONS`	79	86 series	92%
Implementation of standard accounting tools to monitor the economic and	`COUNT`	76	176 series	43%
Countries with National Human Rights Institutions in compliance with the	`COUNT`	75	194 series	39%
Minimum reservoir water area as a proportion of total land area	`Percent`	73	209 series	35%
Signatories to Optional Protocol to the Convention on the Rights of the	`CATEGORY_BINARY_TF`	72	200 series	36%
Maximum reservoir water area as a proportion of total land area	`Percent`	72	209 series	34%
Proportion of population practicing open defecation	`Percent`	72	232 series	31%
Coverage of the second dose of measles-containing vaccine at the nationa	`Percent`	68	194 series	35%
State parties to Optional Protocol to the Convention on the Rights of th	`CATEGORY_BINARY_TF`	66	200 series	33%
Total reported number of Standard Material Transfer Agreements (SMTAs) t	`COUNT`	63	246 series	26%
State parties to Optional Protocol to the Convention on the Rights of th	`CATEGORY_BINARY_TF`	62	200 series	31%
Implementation of standard accounting tools to monitor the economic and	`COUNT`	61	176 series	35%
Signatories to Convention on the Rights of the Child	`CATEGORY_BINARY_TF`	58	200 series	29%
Proportion of transboundary breeds classified as being at risk of extinc	`Percent`	54	145 series	37%
Monetary amount committed to public-private partnerships for infrastruct	`CR_USD`	54	128 series	42%
Monetary amount committed to public-private partnerships for infrastruct	`CR_USD_K`	52	128 series	41%
Agricultural export subsidies	`CR_USD`	9	33 series	27%

`percent_negative` — 28 indicators

Indicator	Unit	Fired	Of	Share
Current account balance as a proportion of GDP	`Percent`	2,871	4,378 observations	66%
Cash surplus/deficit as a proportion of GDP	`Percent`	2,811	2,841 observations	99%
GDP per capita annual growth rate	`Percent`	2,288	8,752 observations	26%
Change in minimum river flow (%)	`Percent`	2,142	4,220 observations	51%
Change in maximum river flow (%)	`Percent`	2,060	4,220 observations	49%
Change in seasonal water area of lakes and rivers	`Percent`	1,371	4,158 observations	33%
Annual growth rate of real GDP per capita	`Percent`	1,256	5,210 observations	24%
Annual growth of the gross capital formation	`Percent`	1,239	3,698 observations	34%
Population annual growth rate	`Percent`	1,161	6,032 observations	19%
Annual growth of exports of goods and services	`Percent`	1,118	3,937 observations	28%
Change in minimum reservoir water area	`Percent`	1,110	3,266 observations	34%
Annual growth of imports of goods and services	`Percent`	1,097	3,937 observations	28%
Change in permanent water area of lakes and rivers	`Percent`	1,020	4,194 observations	24%
Annual GDP growth	`Percent`	843	5,130 observations	16%
Annual growth of final consumption expenditure of the general government	`Percent`	803	3,793 observations	21%
Mangrove total area change	`Percent`	768	1,160 observations	66%
Annual growth of final consumption expenditure of households and non-pro	`Percent`	614	3,870 observations	16%
Foreign direct investment, net inflows, as a proportion of GDP	`Percent`	351	4,796 observations	7%
Ratio of net open position in foreign exchange to capital	`Percent`	331	1,805 observations	18%
Annual inflation (consumer prices)	`Percent`	322	4,494 observations	7%
Ratio of non-performing loans (net of provisions) to capital	`Percent`	313	2,199 observations	14%
Gender pay gap	`Percent`	287	967 observations	30%
Annual forest area change rate	`Percent`	281	684 observations	41%
Annual growth of broad money	`Percent`	246	3,745 observations	7%
Rate of return on assets	`Percent`	132	2,292 observations	6%
Percentage change in AIDS-related deaths since 2010	`Percent`	95	136 observations	70%
Percentage change in new HIV infections since 2010	`Percent`	81	136 observations	60%
Growth rates of household expenditure or income per capita	`Percent`	35	121 observations	29%

`percent_over_100` — 23 indicators

Indicator	Unit	Fired	Of	Share
Primary government expenditures as a proportion of original approved bud	`Percent`	1,000	2,484 observations	40%
Merchandise trade as a proportion of GDP	`Percent`	681	4,963 observations	14%
Level of water stress: freshwater withdrawal as a proportion of availabl	`Percent`	371	4,223 observations	9%
Ratio of liquid assets to short term liabilities	`Percent`	301	2,128 observations	14%
External debt stocks as a proportion of GNI	`Percent`	290	2,899 observations	10%
Change in seasonal water area of lakes and rivers	`Percent`	245	4,158 observations	6%
Proportion of hazardous waste that is treated or disposed	`Percent`	142	900 observations	16%
Total dependency ratio	`Percent`	141	6,032 observations	2%
Change in permanent water area of lakes and rivers	`Percent`	134	4,194 observations	3%
Ratio of net open position in foreign exchange to capital	`Percent`	117	1,805 observations	6%
Gross public sector debt, Central Government, as a proportion of GDP	`Percent`	100	1,023 observations	10%
Antiretroviral coverage among pregnant women for prevention of mother-to	`Percent`	87	1,730 observations	5%
Change in minimum reservoir water area	`Percent`	68	3,266 observations	2%
Proportion of domestic budget funded by domestic taxes	`Percent`	57	3,282 observations	2%
Ratio of non-performing loans (net of provisions) to capital	`Percent`	55	2,199 observations	2%
Foreign direct investment, net inflows, as a proportion of GDP	`Percent`	54	4,796 observations	1%
Percentage change in AIDS-related deaths since 2010	`Percent`	17	136 observations	12%
Proportion of electronic waste that is collected	`Percent`	16	116 observations	14%
Proportion of electronic waste that is recycled	`Percent`	16	462 observations	3%
Percentage change in new HIV infections since 2010	`Percent`	15	136 observations	11%
Proportion of wastewater treated	`Percent`	14	72 observations	19%
Proportion of wastewater safely treated	`Percent`	5	42 observations	12%
Proportion of population that feel safe walking alone around the area th	`Percent`	3	258 observations	1%

`rate_over_scale` — 14 indicators

Indicator	Unit	Fired	Of	Share
Mobile-cellular subscriptions per 100 inhabitants	`RATIO_COUNT_PER_100_COUNT_POP`	2,098	11,121 observations	19%
Active mobile-broadband subscriptions per 100 inhabitants	`RATIO_COUNT_PER_100_COUNT_POP`	523	3,184 observations	16%
Dependency ratio (age 0-24, age 65+ / age 25-64)	`RATIO_COUNT_PER_100_COUNT_POP`	297	374 observations	79%
Dependency ratio (age 0-24, age 70+ / age 25-69)	`RATIO_COUNT_PER_100_COUNT_POP`	257	374 observations	69%
Child dependency ratio (age 0-24 / age 25-64)	`RATIO_COUNT_PER_100_COUNT_POP`	245	374 observations	66%
Child dependency ratio (age 0-24 / age 25-69)	`RATIO_COUNT_PER_100_COUNT_POP`	236	374 observations	63%
Dependency ratio (age 0-19, age 65+ / age 20-64)	`RATIO_COUNT_PER_100_COUNT_POP`	187	374 observations	50%
Dependency ratio (age 0-19, age 70+ / age 20-69)	`RATIO_COUNT_PER_100_COUNT_POP`	169	374 observations	45%
Child dependency ratio (age 0-19 / age 20-64)	`RATIO_COUNT_PER_100_COUNT_POP`	160	374 observations	43%
Child dependency ratio (age 0-19 / age 20-69)	`RATIO_COUNT_PER_100_COUNT_POP`	154	374 observations	41%
Mobile-cellular telephone subscriptions per 100 inhabitants	`RATIO_COUNT_PER_100_COUNT_POP`	89	172 observations	52%
Total dependency ratio (ages 0-14 and 65+ per 100 aged 15-64)	`RATIO_COUNT_PER_100_COUNT_POP`	24	374 observations	6%
Child dependency ratio (ages 0-14 per 100 aged 15-64)	`RATIO_COUNT_PER_100_COUNT_POP`	8	374 observations	2%
Dementia hospital admission rate	`RATIO_COUNT_PER_100000_COUNT_POP`	4	23 observations	17%

`negative_count` — 2 indicators

Indicator	Unit	Fired	Of	Share
Net migration rate (per 1,000 population)	`COUNT`	3,354	6,032 observations	56%
AIDS-related deaths averted by antiretroviral therapy	`COUNT_DEATHS`	58	4,915 observations	1%

Reproducing

python3 probe/smell.py

One get_child_observations call per indicator returns every country and every year, so the whole sweep is a few hundred calls.

UN graph smell test — 2026-09-18

What the checks reach

outlier — HIGH · 77 findings

percent_negative — HIGH · 40 findings

negative_count — HIGH · 12 findings

rate_over_scale — HIGH · 4 findings

jump — MEDIUM · 918 findings

percent_over_100 — MEDIUM · 300 findings

shared_value — MEDIUM · 200 findings

flatline — LOW · 1,546 findings

flatline_zero — LOW · 747 findings