Data for 2012
Price Level of Household Consumption, 2012
2012, as GGDC’s 2025 release gives it · stored as published, never rewritten
Price Level of Household Consumption, 2012 covers 185 countries. South Sudan is highest, at 1.52868; Pakistan is lowest, at 0.22950. The middle country reads 0.45696. Against 2011, 185 values changed (87 up, 98 down), the same countries are covered.
Price Level of Household Consumption · Data for 2012
HighestSouth Sudan
1.52868LowestPakistan
0.22950Shaded by value in five groups of equal size, darkest at the highest end. Neither end is better. The values describe a shape, not a score.
01Values only
The table
Every country and every column of Price Level of Household Consumption, 2012, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 185 countries · select a heading to sort
| 1.52868 | Extrapolated | Regular | |
| 1.32065 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.28240 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.25058 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.24243 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.16793 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.13855 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.06174 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.04414 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.04403 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.01682 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.00911 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.00596 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.99197 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.96966 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.96189 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.94179 | ICP PPP timeseries: benchmark or interpolated | Outlier | |
| 0.90985 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.90686 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.89292 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.87929 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.87428 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.87316 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.86513 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.86491 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.83901 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.83793 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.82833 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.79407 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.77635 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.77572 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.73749 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.69946 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.69552 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.69222 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.69074 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.68934 | ICP PPP timeseries: benchmark or interpolated | Outlier | |
| 0.68894 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.68002 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.67760 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.67696 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.67588 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.66669 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.66411 | ICP PPP timeseries: extrapolated | Regular | |
| 0.65756 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.65643 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.65542 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.64982 | ICP PPP timeseries: extrapolated | Regular | |
| 0.64950 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.64818 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.60889 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.60370 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.60342 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.59466 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.59201 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.59145 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.58640 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.57868 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.57618 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.57477 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.57338 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.56135 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.56040 | Extrapolated | Regular | |
| 0.55722 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.54817 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.54314 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.54022 | ICP PPP timeseries: extrapolated | Regular | |
| 0.53846 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.53715 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.52885 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.52624 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.52184 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.51894 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.51292 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.51216 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.50975 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.50209 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.50011 | Interpolated | Regular | |
| 0.49738 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.49579 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.48877 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.48826 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.48769 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.48368 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.48330 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.48150 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.47889 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.47374 | ICP PPP timeseries: extrapolated | Regular | |
| 0.46813 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.46023 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45801 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45779 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45696 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45553 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45386 | Interpolated | Regular | |
| 0.45353 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45258 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45164 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45048 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45043 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44710 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44639 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44380 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44378 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44343 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44155 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.43559 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.43267 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.43205 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.43168 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42937 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42883 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42761 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42498 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42308 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42187 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42075 | Interpolated | Regular | |
| 0.41762 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41721 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41233 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41213 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.40501 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.40264 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.40152 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39871 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39827 | ICP PPP timeseries: extrapolated | Regular | |
| 0.39814 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39372 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39119 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39054 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.38622 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.38563 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.38548 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.38486 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37764 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37647 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37432 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37181 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37162 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.36702 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.36357 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.36180 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.35101 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.35009 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34978 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34955 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34661 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34626 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34563 | Extrapolated | Regular | |
| 0.34538 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34533 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34279 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33900 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33712 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33615 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33447 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33210 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32828 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32240 | ICP PPP timeseries: extrapolated | Regular | |
| 0.32227 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32203 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.31796 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.31598 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.31408 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.31305 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30995 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30734 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30687 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30232 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29807 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29382 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29367 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.28980 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.27604 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.27297 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.27200 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.27194 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.26500 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.26476 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.25982 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.25235 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.24195 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.23670 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.23103 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.22950 | ICP PPP timeseries: benchmark or interpolated | Regular |
02In 2012
At either end
The 5 countries at each end of the headline.
Highest
South Sudan1.52868
Bermuda1.32065
Norway1.28240
Switzerland1.25058
Australia1.24243
Lowest
Pakistan0.22950
Egypt0.23103
Bangladesh0.23670
India0.24195
Nepal0.25235
Neither end is better. The values describe a shape, not a score. The middle country reads 0.45696. “Shared” marks a value another country also holds.
032011 → 2012
Since 2011
What changed between 2011 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 185values changed, of 185 in both
- 87 · 98rose · fell
- 0unchanged
Rose most
South Sudan1.02631 → 1.52868+0.50237
Venezuela0.55218 → 0.64982+0.09764
Somalia0.26090 → 0.34563+0.08473
Myanmar0.26164 → 0.34533+0.08369
Turkmenistan0.48716 → 0.56040+0.07324
Fell most
Switzerland1.34485 → 1.25058−0.09427
Malawi0.38485 → 0.29807−0.08678
Brazil0.77925 → 0.69946−0.07979
Luxembourg1.14132 → 1.06174−0.07958
Greece0.85273 → 0.77572−0.07701
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2025 release
Every year in this series comes from GGDC’s 2025 release, recalculated on one method. It can differ from what was first published for 2012.
Which end is better
Neither end is better. The values describe a shape, not a score.
Nothing missing
Every one of the 185 countries has every column.
Some readings carry a flag
GGDC marks readings it considers estimates or provisional. The flags in this file: Extrapolated, ICP PPP timeseries: benchmark or interpolated, ICP PPP timeseries: extrapolated, Interpolated.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
185 rows · 17 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download consumption-price-level-2012-nations-inquiry.csv - ↗
The publisher’s original
GGDC’s own file, on its own site.
554105
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 4.0. Share, adapt and use commercially. Credit the publisher and say if you changed anything.
Cite this edition
Groningen Growth and Development Centre (GGDC) (2012). Price Level of Household Consumption, 2012 [data set], describing 2012. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-price-level/2012
0664 held
Other years
‹ The year before
Price Level of Household Consumption, 2011185 countries
The year after ›
Price Level of Household Consumption, 2013185 countries
All of them
Price Level of Household Consumption: every year64 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Price Level of Household Consumption, 2012: questions and answers
Which country has the highest price level (cost of living) in Price Level of Household Consumption, 2012?
South Sudan, at 1.52868, of the 185 countries in the file.
What year does Price Level of Household Consumption, 2012 describe?
2012.
How many countries does Price Level of Household Consumption, 2012 cover?
185.
Where can I download Price Level of Household Consumption, 2012?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Price Level of Household Consumption, 2012 the newest?
No. The newest held here is Price Level of Household Consumption, 2023.