## What it measures Exposure to extreme temperature is the canonical measurable outcome used to reconcile catalog item 110. It belongs to **Environment and Living Conditions**, the part of the welfare catalog concerned with environmental exposures, resource stewardship, waste, climate pressure, and liveable surroundings. The exact stored unit is **Percentage of population**, the geographic presentation is global, the data publisher is **Organisation for Economic Co-operation and Development**, and the immutable numerical identity is `OECD.WISE.WDP,DSD_HSL@DF_HSL_CWB,1.1#9_3#AGE=_T|DOMAIN=HSL_9|EDUCATION_LEV=_T|SEX=_T|UNIT_MEASURE=PT_POP#identity`. Candidate 110 is broader or differently denominated than “Exposure to extreme temperature” in Percentage of population. Factrail stores this narrower source-defined measure, preserves the input wording in reconciliation, and makes no claim that the values measure the broader phrase. For catalog item 110, the provider definition is: Exposure to extreme temperature in the OECD Current Well-being dataflow, selected with AGE=_T|DOMAIN=HSL_9|EDUCATION_LEV=_T|SEX=_T|UNIT_MEASURE=PT_POP. The dataset supplies country observations and status flags under one common SDMX structure; the displayed global comparison is an explicitly disclosed unweighted mean, not an OECD-published world total. That definition controls the denominator, population, reporting instrument, and statistical meaning. The Russian seed wording does not override it, and provider units and denominators remain unchanged. This Indicator records an observed outcome; it does not assert why that outcome changed. Welfare assessment for item 110 uses `lower_is_better`. Lower observations are treated as better welfare relative to the dated comparative reference. The direction applies to the stored official measure after the disclosed transformation, if any, rather than being inferred from an emotionally positive or negative title. No mathematical transformation is applied before persistence. Keeping title, series identity, unit, scope, transformation, and interpretation together prevents the record from mixing incompatible measurement concepts. ## How it is measured The numerical observations for catalog item 110 were retrieved from **OECD Well-being Data Monitor — Current Well-being** through https://sdmx.oecd.org/public/rest/v1/data/OECD.WISE.WDP,DSD_HSL@DF_HSL_CWB,1.1/?startPeriod=2018&endPeriod=2025. The provider landing page is https://sdmx.oecd.org/public/rest/v1/data/OECD.WISE.WDP,DSD_HSL@DF_HSL_CWB,1.1/?startPeriod=2018&endPeriod=2025. The research package records the access date, exact dataset and series identifiers, dimension key `AGE=_T|DOMAIN=HSL_9|EDUCATION_LEV=_T|SEX=_T|UNIT_MEASURE=PT_POP`, unit, provider metadata, transformation, and yearly aggregation label. The bounded Source and Evidence records can therefore reproduce which numbers were used without treating a generic homepage as row-level proof. Measurement provenance for item 110 follows this provider method: The OECD dataset is country-based, so each displayed year is an unweighted mean of the economies reporting the exact same measure, unit, and dimension key. This aggregation supports a transparent global comparison but is not described as an OECD-published world total. 2018 combines 47 reporting economies; 2019 combines 47 reporting economies; 2020 combines 47 reporting economies; 2021 combines 47 reporting economies; 2022 combines 47 reporting economies; 2023 combines 47 reporting economies; 2024 combines 47 reporting economies. The output keeps full numerical precision through NormalLine, deviation, and interpretation calculations. Display clients may round for readability, but the persisted value is not squeezed into a zero-to-one score and is not rounded before calculation. The item 110 NormalLine starts on 2018-01-01 at **0 Percentage of population**. 25th percentile of provider-published reporting-economy observations in the selected series and dimensions. The calculation keeps the source unit, dimensions, and transformation fixed and is a comparative reference rather than an invented statutory target. For `zero_is_norm`, the value is exactly zero and is never relaxed because non-zero observations are common. For other interpretation modes, the benchmark is empirical and versioned: a later provider revision can justify a new dated line, but it does not silently rewrite the research package used for this seed. For every item 110 point, `normal_line_value` copies that dated line and `deviation_from_normal` is stored in raw-unit terms as observation minus NormalLine. Arithmetic sign and welfare sign are separate. A positive raw deviation is adverse for `lower_is_better`, favourable for `higher_is_better`, and adverse above zero for `zero_is_norm`. The custom governance score retains its provider scale and uses the public methodology explanation rather than title sentiment. ## What the data shows The complete retained sequence is 2018: 5.663877518 Percentage of population; 2019: 7.643418717 Percentage of population; 2020: 7.0415812289 Percentage of population; 2021: 7.6928590132 Percentage of population; 2022: 6.5724922728 Percentage of population; 2023: 10.2647341762 Percentage of population; 2024: 11.7484040897 Percentage of population. The first observation is **5.663877518 Percentage of population in 2018** and the latest is **11.7484040897 Percentage of population in 2024**. The absolute change is 6.0845265717 Percentage of population, equivalent to 107.426874122% of the absolute starting level. The minimum observed value is 5.663877518 Percentage of population, and the maximum is 11.7484040897 Percentage of population. For catalog item 110, the latest observation differs from the NormalLine by **11.7484040897 Percentage of population** and is classified as **negative** under `lower_is_better`. That classification is a deterministic comparison, not a causal explanation or editorial verdict. A movement may reflect real change, altered reporting coverage, revised estimates, a changed survey frame, or several of those at once. There are 7 retained item 110 observations in the selected 2018-2025 research window. The retained observations satisfy the minimum temporal rule without interpolation, extrapolation, or forward filling. Missing years are absent observations, not zeroes. The sequence is intentionally irregular when the official source is irregular, because a smooth-looking line created by invented values would be methodologically false. The displayed global item 110 sequence has one consistent numerical identity: `OECD.WISE.WDP,DSD_HSL@DF_HSL_CWB,1.1#9_3#AGE=_T|DOMAIN=HSL_9|EDUCATION_LEV=_T|SEX=_T|UNIT_MEASURE=PT_POP#identity`. No second source series is spliced into a gap, no latest value is copied into a missing year, and no country-only observation is relabelled as a World value. If the source later adds or revises an observation, the update must arrive as a new reviewed research package with its own checksum and audit record. ## Drivers and interpretation Exposure to extreme temperature can be associated with economic, institutional, demographic, environmental, behavioural, or service-delivery mechanisms, but this seed does not create a DriverIndicatorImpact from topical resemblance. A defensible graph edge requires an existing Driver, direction, strength, lag, confidence, and Source/Evidence that supports the mechanism. The outcome series alone cannot establish that causal chain. For item 110, importance weight **0.8500000000000001** is generated by `indicator-importance-rubric-v1`. Its five committed components are directness 0.85, population reach 0.8, persistence 0.8, effect on human capabilities 0.9, and overlap control 0.85. The formula weights them 0.35, 0.25, 0.20, 0.15, and 0.05, then rounds to the nearest 0.05. The value is deterministic and reproducible; it is not an intuitive score assigned while drafting prose. ## Limitations and caveats Candidate 110 is broader or differently denominated than “Exposure to extreme temperature” in Percentage of population. Factrail stores this narrower source-defined measure, preserves the input wording in reconciliation, and makes no claim that the values measure the broader phrase. The correction preserves all 120 catalog candidates as auditable inputs while refusing to fabricate a literal series that the selected official systems do not publish coherently. The resulting canonical Indicator may be narrower, differently denominated, or differently scoped than the preliminary phrase, and that difference is part of the record rather than hidden in a footnote. The 2018-2024 sequence for item 110 is too short for strong causal or structural claims. Cross-economy comparability can be affected by institutional definitions, survey coverage, modelled estimates, missing observations, classification practices, revisions, and unequal statistical capacity. A global aggregate or unweighted reporting-economy mean can also conceal distributional extremes and should not be used as an individual-level estimate. The item 110 NormalLine is a transparent comparative reference, not a claim that every jurisdiction has the same legal target or feasible frontier. The source may revise both historical points and metadata. Any later refresh must preserve the earlier Source, Evidence, checksum, and audit trail; it must not mutate the meaning of an already reviewed series identity.
How to read it
Lower is better — readings above the norm count as worse, so they plot downward here.
Measured value over time. Lower is better here, so the line runs green below the dashed norm and red above it.
Each driver linked to this indicator, strongest pull first, on the same timeline above. Markers are the facts that moved that driver. These are modelled influences — treat them as correlational unless a documented causal edge is shown.
No drivers are linked to this indicator yet.
Exposure to extreme temperature is the canonical measurable outcome used to reconcile catalog item 110. It belongs to Environment and Living Conditions, the part of the welfare catalog concerned with environmental exposures, resource stewardship, waste, climate pressure, and liveable surroundings. The exact stored unit is Percentage of population, the geographic presentation is global, the data publisher is Organisation for Economic Co-operation and Development, and the immutable numerical identity is OECD.WISE.WDP,DSD_HSL@DF_HSL_CWB,1.1#9_3#AGE=_T|DOMAIN=HSL_9|EDUCATION_LEV=_T|SEX=_T|UNIT_MEASURE=PT_POP#identity. Candidate 110 is broader or differently denominated than “Exposure to extreme temperature” in Percentage of population. Factrail stores this narrower source-defined measure, preserves the input wording in reconciliation, and makes no claim that the values measure the broader phrase.
For catalog item 110, the provider definition is: Exposure to extreme temperature in the OECD Current Well-being dataflow, selected with AGE=_T|DOMAIN=HSL_9|EDUCATION_LEV=_T|SEX=_T|UNIT_MEASURE=PT_POP. The dataset supplies country observations and status flags under one common SDMX structure; the displayed global comparison is an explicitly disclosed unweighted mean, not an OECD-published world total. That definition controls the denominator, population, reporting instrument, and statistical meaning. The Russian seed wording does not override it, and provider units and denominators remain unchanged. This Indicator records an observed outcome; it does not assert why that outcome changed.
Welfare assessment for item 110 uses lower_is_better. Lower observations are treated as better welfare relative to the dated comparative reference. The direction applies to the stored official measure after the disclosed transformation, if any, rather than being inferred from an emotionally positive or negative title. No mathematical transformation is applied before persistence. Keeping title, series identity, unit, scope, transformation, and interpretation together prevents the record from mixing incompatible measurement concepts.
The numerical observations for catalog item 110 were retrieved from OECD Well-being Data Monitor — Current Well-being through https://sdmx.oecd.org/public/rest/v1/data/OECD.WISE.WDP,DSD_HSL@DF_HSL_CWB,1.1/?startPeriod=2018&endPeriod=2025 (opens in a new tab). The provider landing page is https://sdmx.oecd.org/public/rest/v1/data/OECD.WISE.WDP,DSD_HSL@DF_HSL_CWB,1.1/?startPeriod=2018&endPeriod=2025 (opens in a new tab). The research package records the access date, exact dataset and series identifiers, dimension key AGE=_T|DOMAIN=HSL_9|EDUCATION_LEV=_T|SEX=_T|UNIT_MEASURE=PT_POP, unit, provider metadata, transformation, and yearly aggregation label. The bounded Source and Evidence records can therefore reproduce which numbers were used without treating a generic homepage as row-level proof.
Measurement provenance for item 110 follows this provider method: The OECD dataset is country-based, so each displayed year is an unweighted mean of the economies reporting the exact same measure, unit, and dimension key. This aggregation supports a transparent global comparison but is not described as an OECD-published world total. 2018 combines 47 reporting economies; 2019 combines 47 reporting economies; 2020 combines 47 reporting economies; 2021 combines 47 reporting economies; 2022 combines 47 reporting economies; 2023 combines 47 reporting economies; 2024 combines 47 reporting economies. The output keeps full numerical precision through NormalLine, deviation, and interpretation calculations. Display clients may round for readability, but the persisted value is not squeezed into a zero-to-one score and is not rounded before calculation.
The item 110 NormalLine starts on 2018-01-01 at 0 Percentage of population. 25th percentile of provider-published reporting-economy observations in the selected series and dimensions. The calculation keeps the source unit, dimensions, and transformation fixed and is a comparative reference rather than an invented statutory target. For zero_is_norm, the value is exactly zero and is never relaxed because non-zero observations are common. For other interpretation modes, the benchmark is empirical and versioned: a later provider revision can justify a new dated line, but it does not silently rewrite the research package used for this seed.
For every item 110 point, normal_line_value copies that dated line and deviation_from_normal is stored in raw-unit terms as observation minus NormalLine. Arithmetic sign and welfare sign are separate. A positive raw deviation is adverse for lower_is_better, favourable for higher_is_better, and adverse above zero for zero_is_norm. The custom governance score retains its provider scale and uses the public methodology explanation rather than title sentiment.
The complete retained sequence is 2018: 5.663877518 Percentage of population; 2019: 7.643418717 Percentage of population; 2020: 7.0415812289 Percentage of population; 2021: 7.6928590132 Percentage of population; 2022: 6.5724922728 Percentage of population; 2023: 10.2647341762 Percentage of population; 2024: 11.7484040897 Percentage of population. The first observation is 5.663877518 Percentage of population in 2018 and the latest is 11.7484040897 Percentage of population in 2024. The absolute change is 6.0845265717 Percentage of population, equivalent to 107.426874122% of the absolute starting level. The minimum observed value is 5.663877518 Percentage of population, and the maximum is 11.7484040897 Percentage of population.
For catalog item 110, the latest observation differs from the NormalLine by 11.7484040897 Percentage of population and is classified as negative under lower_is_better. That classification is a deterministic comparison, not a causal explanation or editorial verdict. A movement may reflect real change, altered reporting coverage, revised estimates, a changed survey frame, or several of those at once.
There are 7 retained item 110 observations in the selected 2018-2025 research window. The retained observations satisfy the minimum temporal rule without interpolation, extrapolation, or forward filling. Missing years are absent observations, not zeroes. The sequence is intentionally irregular when the official source is irregular, because a smooth-looking line created by invented values would be methodologically false.
The displayed global item 110 sequence has one consistent numerical identity: OECD.WISE.WDP,DSD_HSL@DF_HSL_CWB,1.1#9_3#AGE=_T|DOMAIN=HSL_9|EDUCATION_LEV=_T|SEX=_T|UNIT_MEASURE=PT_POP#identity. No second source series is spliced into a gap, no latest value is copied into a missing year, and no country-only observation is relabelled as a World value. If the source later adds or revises an observation, the update must arrive as a new reviewed research package with its own checksum and audit record.
Exposure to extreme temperature can be associated with economic, institutional, demographic, environmental, behavioural, or service-delivery mechanisms, but this seed does not create a DriverIndicatorImpact from topical resemblance. A defensible graph edge requires an existing Driver, direction, strength, lag, confidence, and Source/Evidence that supports the mechanism. The outcome series alone cannot establish that causal chain.
For item 110, importance weight 0.8500000000000001 is generated by indicator-importance-rubric-v1. Its five committed components are directness 0.85, population reach 0.8, persistence 0.8, effect on human capabilities 0.9, and overlap control 0.85. The formula weights them 0.35, 0.25, 0.20, 0.15, and 0.05, then rounds to the nearest 0.05. The value is deterministic and reproducible; it is not an intuitive score assigned while drafting prose.
Candidate 110 is broader or differently denominated than “Exposure to extreme temperature” in Percentage of population. Factrail stores this narrower source-defined measure, preserves the input wording in reconciliation, and makes no claim that the values measure the broader phrase. The correction preserves all 120 catalog candidates as auditable inputs while refusing to fabricate a literal series that the selected official systems do not publish coherently. The resulting canonical Indicator may be narrower, differently denominated, or differently scoped than the preliminary phrase, and that difference is part of the record rather than hidden in a footnote.
The 2018-2024 sequence for item 110 is too short for strong causal or structural claims. Cross-economy comparability can be affected by institutional definitions, survey coverage, modelled estimates, missing observations, classification practices, revisions, and unequal statistical capacity. A global aggregate or unweighted reporting-economy mean can also conceal distributional extremes and should not be used as an individual-level estimate.
The item 110 NormalLine is a transparent comparative reference, not a claim that every jurisdiction has the same legal target or feasible frontier. The source may revise both historical points and metadata. Any later refresh must preserve the earlier Source, Evidence, checksum, and audit trail; it must not mutate the meaning of an already reviewed series identity.
Factrail hasn’t mapped a verified causal chain for this indicator yet. This reflects the relationships currently captured in the graph.