Natural gas inland consumption (million cubic metres) - Czech Republic - Eurostat - Monthly
This series is part of the dataset: European natural gas consumption (Eurostat)
Download Full Dataset (.xlsx)Latest updates. In the Czech Republic, natural gas inland consumption stood at 263 million cubic metres in September 2026, versus 308 in August 2026. This marks a decrease of 14.66 percent.
Sample. There are 153 records in the monthly time series shown in the figure above. The series covers the time period extending from January 2014 to September 2026.
History. Here’s a quick look at a few statistics computed on the entire sample: natural gas inland consumption reached a minimum of 263 million cubic metres in September 2026; it recorded its maximum of 1,480 million cubic metres in January 2017; it had a mean of 666 million cubic metres.
Latest values
| Date | Value - Million cubic metres |
|---|---|
| 2026-07-31 | 293.228 |
| 2026-08-31 | 307.921 |
| 2026-09-30 | 262.766 |
Nugget of wisdom. One of the pros of our data visualization and download service is that we publish accurate metadata. Find them below to learn more about the characteristics of the time series that you are exploring.
Not for investment purposes. Data and analyses hosted on this web site are not supposed to be used for investment purposes or other financial decisions. Users should obtain expert advice and do their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Natural gas inland consumption |
| Country | Czech Republic |
| Economic concept | Flow |
| Data type | Quantity |
| Seasonally adjusted | No |
| Deflation method | Not applicable |
| Rescaling | None |
| Measure type | Level |
| Frequency | Monthly |
| Unit | Million cubic metres |
| Source | Eurostat |
| Source type | International organization |
| Data licence | Free reuse with attribution |
| Other information | Eurostat table nrg_cb_gasm |
| FSR temporal aggregation code | LM1 |
Series in the same data set
Discover the other time series included in this data set.