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▸ Map · 87 federal subjects

Which region is under the most pressure?

The share of people living below the subsistence minimum, in every federal subject Rosstat publishes — read on the same scale as the national indicator. Click any region. You do not need to know Russia to use this.

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Click a region, or search one by name
▸ Against the Russian average · each region's local adjustment
−5 and belowon the average+7 and above
▸ Highest poverty rate
▸ Lowest poverty rate
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Your region is one piece. Here is the rest.

Method

Source — Rosstat, Уровень бедности (Urov_52), poverty rate by federal subject, 2018 to the latest published year. Figures are reproduced unmodified. Boundaries: Natural Earth admin-1, public domain.

Score — national tension plus a local adjustment, the same engine as the Canadian and US maps. Correlated indicators are grouped and averaged rather than summed: the poverty rate and income measured against the subsistence minimum describe the same fact, and summing them would count one phenomenon twice and saturate the scale. A region's inhabitants carry the country's structural load like everyone else; what differs is the local gap.

What the colours show — the map is painted on the GAP to the country, not on the absolute score. Russian regions sit closer together on these indicators than US ZIP codes do: on the absolute score, 70 subjects out of 85 fall in one band and the map goes monochrome. Inflating the coefficients until the map looked good would be tuning the data to the picture. The card keeps the absolute score and its band; the map answers the question it asks, which is a question about gaps.

Level and direction, always both — a region can sit well above the national rate and still have improved for seven years. Tuva is at 18.6% and has fallen 15.8 points since 2018. Each card gives both.

Arkhangelsk and Tyumen — Rosstat publishes these two oblasts twice: the whole oblast, then the oblast without its autonomous okrugs, the okrugs being listed separately. The whole-oblast line is a total of lines already shown, not an 86th place, so it is not drawn: painting it would colour the same outline twice and count the same people twice in a ranking. The map keeps the partition, and the Natural Earth polygons follow it exactly (Arkhangelsk 401,185 km² against 410,700 for the oblast excluding Nenets). Map and table cut the country the same way.

Crimea and Sevastopol — Rosstat publishes a poverty rate for both, so both appear. They are drawn hatched: these territories have been administered by Russia since 2014 and are recognised as Ukrainian by the UN General Assembly. Showing the figure is not endorsing the boundary, and dropping it silently would be an editorial act of its own.

Postal index — the Russian Post reference directory of index offices (PIndx) maps each 3-digit prefix to a federal subject. The Post's own servers do not answer requests from outside Russia, so the directory is read through its public mirror (github.com/sanmai/pindx), which republishes it. Three offices are sampled per prefix: if they disagree, the prefix is dropped and the search answers "index not found" rather than sending you to the wrong region. 264 of 280 prefixes resolve; the 9xx ranges are nationwide service codes, not geographic, and are among those dropped.

Names — transliterated from Russian by a fixed rule, never translated. The Russian name is shown alongside. A translation would be an invention; a transliteration is a rule.

Charter: no invented figures. A region without a published rate is absent, never estimated. A year without a reading is absent from the curve, never interpolated.