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Income, Employment, and Material Well-Being

Proportion of population living below the national poverty line (%)

It belongs to Income, Employment, and Material Well-Being, the part of the welfare catalog concerned with household resources, labour-market inclusion, and the material constraints that shape daily choices. The exact stored unit is PERCENT, the geographic presentation is global, the data publisher is United Nations…

current value24.3PERCENT
Worse than normalDeclining(+4.1)
GlobalAbove normal = worseimportance: 0.80unit: PERCENT1 active driverUpdated Dec 2025

How to read it

Readings above the normal line are worse than normal, so they plot downward here; readings below it are better.

Indicator & its drivers over time

About this indicator

It belongs to Income, Employment, and Material Well-Being, the part of the welfare catalog concerned with household resources, labour-market inclusion, and the material constraints that shape daily choices. The exact stored unit is PERCENT, the geographic presentation is global, the data publisher is United Nations Statistics Division, and the immutable numerical identity is UN-SDG-1.2.1#SIPOVNAHC#Location=ALLAREA|Reporting Type=G#identity. The preliminary catalog candidate 3 is reconciled to the exact official series “Proportion of population living below the national poverty line (%)” in PERCENT. This is a deliberate canonical correction: the database title names what the values actually measure, while the input wording remains in the reconciliation and audit trail. No hidden proxy label, fallback series, or silently substituted denominator remains. For catalog item 3, the provider definition is: Proportion of population living below the national poverty line (%). The stored rows are an explicitly disclosed unweighted mean of reporting country or city observations for SDG indicator 1.2.1, series SIPOVNAHC, constrained to Location=ALLAREA|Reporting Type=G. That definition controls the denominator, population, reporting instrument, and statistical meaning. This Indicator records an observed outcome; it does not assert why that outcome changed. Welfare assessment for item 3 uses lowerisbetter. 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 3 were retrieved from United Nations Global SDG Indicators Database through https://unstats.un.org/SDGAPI/v1/sdg/Indicator/Data?indicator=1.2.1&pageSize=10000 (opens in a new tab). The provider landing page is https://unstats.un.org/sdgs/dataportal/database?indicator=1.2.1 (opens in a new tab). The research package records the access date, exact dataset and series identifiers, dimension key Location=ALLAREA|Reporting Type=G, 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 3 follows this provider method: The United Nations database supplies country or city observations for the exact series and dimensions. Factrail stores a disclosed unweighted annual mean and never labels it as a UN-published World total. 2018 combines 67 reporting economies; 2019 combines 61 reporting economies; 2020 combines 55 reporting economies; 2021 combines 72 reporting economies; 2022 combines 51 reporting economies; 2023 combines 39 reporting economies; 2024 combines 23 reporting economies; 2025 combines 5 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 3 NormalLine starts on 2018-01-01 at 12.9 PERCENT. 25th percentile of retained official World observations across the disclosed publication window. The calculation keeps the source unit, dimensions, and transformation fixed and is a comparative reference rather than an invented statutory target. For zeroisnorm, the value is exactly zero and is never relaxed because non-zero observations are common. For every item 3 point, normallinevalue copies that dated line and deviationfromnormal is stored in raw-unit terms as observation minus NormalLine. Arithmetic sign and welfare sign are separate. A positive raw deviation is adverse for lowerisbetter, favourable for higherisbetter, and adverse above zero for zeroisnorm. The custom governance score retains its provider scale and uses the public methodology explanation rather than title sentiment. The complete retained sequence is 2018: 23.8507462687 PERCENT; 2019: 19.4327868852 PERCENT; 2020: 20.8509090909 PERCENT; 2021: 23.7208333333 PERCENT; 2022: 23.6078431373 PERCENT; 2023: 21.1717948718 PERCENT; 2024: 20.2652173913 PERCENT; 2025: 24.34 PERCENT. The first observation is 23.8507462687 PERCENT in 2018 and the latest is 24.34 PERCENT in 2025. The absolute change is 0.4892537313 PERCENT, equivalent to 2.05131414249% of the absolute starting level. The minimum observed value is 19.4327868852 PERCENT, and the maximum is 24.34 PERCENT. For catalog item 3, the latest observation differs from the NormalLine by 11.44 PERCENT and is classified as negative under lowerisbetter. 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 8 retained item 3 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 3 sequence has one consistent numerical identity: UN-SDG-1.2.1#SIPOVNAHC#Location=ALLAREA|Reporting Type=G#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. 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 3, importance weight 0.8 is generated by indicator-importance-rubric-v1. Its five committed components are directness 0.8, population reach 0.7, persistence 0.85, effect on human capabilities 0.85, and overlap control 0.8. 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. The 2018-2025 sequence for item 3 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 3 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.

Causal network

This indicator’s slice of Factrail’s verified causal web — the people, facts, drivers and welfare indicators it connects to. Select any node to trace a path.

By the Factrail desk · Method: how we source and score · Last reviewed