Data for 2016
Price Level of Household Consumption, 2016
2016, as GGDC’s 2025 release gives it · stored as published, never rewritten
Price Level of Household Consumption, 2016 covers 185 countries. Venezuela is highest, at 4.55101; Ukraine is lowest, at 0.20921. The middle country reads 0.43229. Against 2015, 185 values changed (79 up, 106 down), the same countries are covered.
Price Level of Household Consumption · Data for 2016
HighestVenezuela
4.55101LowestUkraine
0.20921Shaded 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, 2016, 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
| 4.55101 | ICP PPP timeseries: extrapolated | Outlier | |
| 1.39074 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.21217 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.18832 | ICP PPP timeseries: benchmark or interpolated | Outlier | |
| 1.16474 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.11391 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.05855 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.05703 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 1.05173 | ICP PPP timeseries: benchmark or interpolated | Outlier | |
| 0.98059 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.97012 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.95718 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.95434 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.94578 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.94269 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.93724 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.92662 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.92515 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.91040 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.90820 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.90538 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.86311 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.84434 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.82994 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.82941 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.81408 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.80938 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.79923 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.77310 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.77141 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.75488 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.73923 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.73569 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.72791 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.72736 | Extrapolated | Regular | |
| 0.72704 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.72353 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.71856 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.69934 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.68340 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.68254 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.67900 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.67309 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.66680 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.66137 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.65454 | ICP PPP timeseries: extrapolated | Regular | |
| 0.65201 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.64814 | ICP PPP timeseries: extrapolated | Regular | |
| 0.64169 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.63664 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.63249 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.62150 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.60222 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.60156 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.58942 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.58860 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.58444 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.58403 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.58168 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.56574 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.56401 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.56385 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.55947 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.54731 | Extrapolated | Regular | |
| 0.54006 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.53318 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.52251 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.51174 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.51078 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.50935 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.50800 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.50659 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.49890 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.49649 | ICP PPP timeseries: extrapolated | Regular | |
| 0.49437 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.48684 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.47908 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.47557 | ICP PPP timeseries: extrapolated | Regular | |
| 0.47555 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.47024 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.46922 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.46649 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45329 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45287 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.45153 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44845 | Interpolated | Regular | |
| 0.44452 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44427 | Interpolated | Regular | |
| 0.44268 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.44005 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.43904 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.43830 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.43229 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.43113 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42578 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42396 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.42275 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41928 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41770 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41729 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41718 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41579 | ICP PPP timeseries: extrapolated | Regular | |
| 0.41511 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41398 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41390 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.41173 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.40632 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39956 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39954 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39730 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39604 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.39198 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.38301 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.38190 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37887 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37785 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37690 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37669 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37577 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.37303 | Extrapolated | Regular | |
| 0.37065 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.36961 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.35803 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.35311 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.35186 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.35126 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.35037 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34973 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34927 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34821 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34748 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34720 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34450 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34136 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34042 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.34019 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33919 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33915 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33519 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33192 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.33135 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32970 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32798 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32786 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32568 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32460 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.32220 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.31846 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.31363 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30879 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30862 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30776 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30744 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30282 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30253 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.30199 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29932 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29449 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29265 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29136 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29099 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.29032 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.28967 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.28798 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.28749 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.28443 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.28363 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.27651 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.27601 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.27315 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.26999 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.26374 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.26349 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.25824 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.25074 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.24876 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.24592 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.24453 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.24410 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.23869 | ICP PPP timeseries: benchmark or interpolated | Outlier | |
| 0.23722 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.22898 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.22678 | ICP PPP timeseries: benchmark or interpolated | Regular | |
| 0.20938 | Interpolated | Outlier | |
| 0.20921 | ICP PPP timeseries: benchmark or interpolated | Regular |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
Venezuela4.55101
Bermuda1.39074
Switzerland1.21217
Cayman Islands1.18832
Iceland1.16474
Lowest
Ukraine0.20921
Syria0.20938
Azerbaijan0.22678
Egypt0.22898
Madagascar0.23722
Neither end is better. The values describe a shape, not a score. The middle country reads 0.43229. “Shared” marks a value another country also holds.
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 185values changed, of 185 in both
- 79 · 106rose · fell
- 0unchanged
Rose most
Venezuela2.00746 → 4.55101+2.54354
Iceland0.99699 → 1.16474+0.16775
Japan0.80017 → 0.94269+0.14251
Slovakia0.52578 → 0.58168+0.05590
Saudi Arabia0.36118 → 0.40632+0.04514
Fell most
South Sudan1.94400 → 0.72736−1.21664
Syria0.35232 → 0.20938−0.14294
United Kingdom1.02245 → 0.90820−0.11425
Kazakhstan0.40196 → 0.29449−0.10748
Argentina0.75022 → 0.64814−0.10208
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 2016.
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: ICP PPP timeseries: extrapolated, ICP PPP timeseries: benchmark or interpolated, 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-2016-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) (2016). Price Level of Household Consumption, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-price-level/2016
0664 held
Other years
‹ The year before
Price Level of Household Consumption, 2015185 countries
The year after ›
Price Level of Household Consumption, 2017185 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, 2016: questions and answers
Which country has the highest price level (cost of living) in Price Level of Household Consumption, 2016?
Venezuela, at 4.55101, of the 185 countries in the file.
What year does Price Level of Household Consumption, 2016 describe?
2016.
How many countries does Price Level of Household Consumption, 2016 cover?
185.
Where can I download Price Level of Household Consumption, 2016?
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, 2016 the newest?
No. The newest held here is Price Level of Household Consumption, 2023.