{ "indicator": "suderinta-infliacija", "name": { "lt": "Metinė infliacija (SVKI)", "en": "Annual inflation (HICP)" }, "definition": { "lt": "Suderinto vartotojų kainų indekso pokytis per metus. SVKI skaičiuojamas pagal vieną visoje ES galiojančią metodiką, todėl juo lyginamos valstybės narės. Jo aprėptis siauresnė nei nacionalinio VKI — pavyzdžiui, neįtraukiamos savininkų gyvenamojo būsto išlaidos — todėl tą patį mėnesį abiejų rodiklių reikšmės skiriasi.", "en": "The annual change in the harmonised index of consumer prices. The HICP is compiled on one methodology across the EU, which is what makes member states comparable. Its coverage is narrower than the national CPI — owner-occupied housing costs are excluded, among others — so the two differ in the same month." }, "unit": { "lt": "procentai", "en": "percent", "symbol": "%" }, "frequency": "M", "publisher": "Valstybės duomenų agentūra", "decimals": 1, "builtAt": "2026-08-21", "stale": false, "series": { "yoy": { "key": "S7R324", "unit": "procentai", "freq": "M", "sourceId": "S7R324", "sourceUrl": "https://osp-rs.stat.gov.lt/rest_xml/data/S7R324_M2020216_1?startPeriod=2014-01", "datasetUrl": "https://osp.stat.gov.lt/statistiniu-rodikliu-analize", "updated": "2026-08-11", "fetched": "2026-08-21", "note": "", "obs": [ [ "2014M01", 0.2 ], [ "2014M02", 0.3 ], [ "2014M03", 0.4 ], [ "2014M04", 0.3 ], [ "2014M05", 0.1 ], [ "2014M06", 0.3 ], [ "2014M07", 0.5 ], [ "2014M08", 0.3 ], [ "2014M09", 0.0 ], [ "2014M10", 0.3 ], [ "2014M11", 0.4 ], [ "2014M12", -0.1 ], [ "2015M01", -1.4 ], [ "2015M02", -1.5 ], [ "2015M03", -1.1 ], [ "2015M04", -0.6 ], [ "2015M05", -0.1 ], [ "2015M06", -0.2 ], [ "2015M07", -0.2 ], [ "2015M08", -1.0 ], [ "2015M09", -0.8 ], [ "2015M10", -0.4 ], [ "2015M11", -0.5 ], [ "2015M12", -0.2 ], [ "2016M01", 0.7 ], [ "2016M02", 0.5 ], [ "2016M03", 0.8 ], [ "2016M04", 0.8 ], [ "2016M05", 0.2 ], [ "2016M06", 0.4 ], [ "2016M07", 0.0 ], [ "2016M08", 0.5 ], [ "2016M09", 0.6 ], [ "2016M10", 0.7 ], [ "2016M11", 1.1 ], [ "2016M12", 2.0 ], [ "2017M01", 2.6 ], [ "2017M02", 3.2 ], [ "2017M03", 3.2 ], [ "2017M04", 3.5 ], [ "2017M05", 3.2 ], [ "2017M06", 3.5 ], [ "2017M07", 4.1 ], [ "2017M08", 4.6 ], [ "2017M09", 4.6 ], [ "2017M10", 4.2 ], [ "2017M11", 4.2 ], [ "2017M12", 3.8 ], [ "2018M01", 3.6 ], [ "2018M02", 3.2 ], [ "2018M03", 2.5 ], [ "2018M04", 2.2 ], [ "2018M05", 2.9 ], [ "2018M06", 2.5 ], [ "2018M07", 2.3 ], [ "2018M08", 1.8 ], [ "2018M09", 2.4 ], [ "2018M10", 2.9 ], [ "2018M11", 2.4 ], [ "2018M12", 1.8 ], [ "2019M01", 1.6 ], [ "2019M02", 2.0 ], [ "2019M03", 2.6 ], [ "2019M04", 2.7 ], [ "2019M05", 2.5 ], [ "2019M06", 2.4 ], [ "2019M07", 2.5 ], [ "2019M08", 2.5 ], [ "2019M09", 2.0 ], [ "2019M10", 1.5 ], [ "2019M11", 1.7 ], [ "2019M12", 2.7 ], [ "2020M01", 3.0 ], [ "2020M02", 2.8 ], [ "2020M03", 1.7 ], [ "2020M04", 0.9 ], [ "2020M05", 0.2 ], [ "2020M06", 0.9 ], [ "2020M07", 0.9 ], [ "2020M08", 1.2 ], [ "2020M09", 0.6 ], [ "2020M10", 0.5 ], [ "2020M11", 0.4 ], [ "2020M12", -0.1 ], [ "2021M01", 0.2 ], [ "2021M02", 0.4 ], [ "2021M03", 1.6 ], [ "2021M04", 2.4 ], [ "2021M05", 3.5 ], [ "2021M06", 3.5 ], [ "2021M07", 4.3 ], [ "2021M08", 5.0 ], [ "2021M09", 6.4 ], [ "2021M10", 8.2 ], [ "2021M11", 9.3 ], [ "2021M12", 10.7 ], [ "2022M01", 12.3 ], [ "2022M02", 14.0 ], [ "2022M03", 15.6 ], [ "2022M04", 16.6 ], [ "2022M05", 18.5 ], [ "2022M06", 20.5 ], [ "2022M07", 20.9 ], [ "2022M08", 21.1 ], [ "2022M09", 22.5 ], [ "2022M10", 22.1 ], [ "2022M11", 21.4 ], [ "2022M12", 20.0 ], [ "2023M01", 18.5 ], [ "2023M02", 17.2 ], [ "2023M03", 15.2 ], [ "2023M04", 13.3 ], [ "2023M05", 10.7 ], [ "2023M06", 8.2 ], [ "2023M07", 7.2 ], [ "2023M08", 6.4 ], [ "2023M09", 4.1 ], [ "2023M10", 3.1 ], [ "2023M11", 2.4 ], [ "2023M12", 1.6 ], [ "2024M01", 1.1 ], [ "2024M02", 1.1 ], [ "2024M03", 0.4 ], [ "2024M04", 0.4 ], [ "2024M05", 0.9 ], [ "2024M06", 1.0 ], [ "2024M07", 1.1 ], [ "2024M08", 0.8 ], [ "2024M09", 0.4 ], [ "2024M10", 0.1 ], [ "2024M11", 1.1 ], [ "2024M12", 1.9 ], [ "2025M01", 3.4 ], [ "2025M02", 3.2 ], [ "2025M03", 3.7 ], [ "2025M04", 3.6 ], [ "2025M05", 3.0 ], [ "2025M06", 3.2 ], [ "2025M07", 3.4 ], [ "2025M08", 3.6 ], [ "2025M09", 3.7 ], [ "2025M10", 3.7 ], [ "2025M11", 3.6 ], [ "2025M12", 3.2 ], [ "2026M01", 2.8 ], [ "2026M02", 3.3 ], [ "2026M03", 4.4 ], [ "2026M04", 4.9 ], [ "2026M05", 5.1 ], [ "2026M06", 5.4 ], [ "2026M07", 5.4 ] ] }, "avg12": { "key": "S7R324", "unit": "procentai", "freq": "M", "sourceId": "S7R324", "sourceUrl": "https://osp-rs.stat.gov.lt/rest_xml/data/S7R324_M2020216_1?startPeriod=2014-01", "datasetUrl": "https://osp.stat.gov.lt/statistiniu-rodikliu-analize", "updated": "2026-08-11", "fetched": "2026-08-21", "note": "", "obs": [ [ "2014M01", 1.0 ], [ "2014M02", 0.8 ], [ "2014M03", 0.7 ], [ "2014M04", 0.6 ], [ "2014M05", 0.5 ], [ "2014M06", 0.4 ], [ "2014M07", 0.4 ], [ "2014M08", 0.4 ], [ "2014M09", 0.3 ], [ "2014M10", 0.3 ], [ "2014M11", 0.3 ], [ "2014M12", 0.2 ], [ "2015M01", 0.1 ], [ "2015M02", 0.0 ], [ "2015M03", -0.2 ], [ "2015M04", -0.2 ], [ "2015M05", -0.3 ], [ "2015M06", -0.3 ], [ "2015M07", -0.4 ], [ "2015M08", -0.5 ], [ "2015M09", -0.5 ], [ "2015M10", -0.6 ], [ "2015M11", -0.7 ], [ "2015M12", -0.7 ], [ "2016M01", -0.5 ], [ "2016M02", -0.3 ], [ "2016M03", -0.2 ], [ "2016M04", -0.1 ], [ "2016M05", 0.0 ], [ "2016M06", 0.0 ], [ "2016M07", 0.0 ], [ "2016M08", 0.1 ], [ "2016M09", 0.3 ], [ "2016M10", 0.4 ], [ "2016M11", 0.5 ], [ "2016M12", 0.7 ], [ "2017M01", 0.8 ], [ "2017M02", 1.1 ], [ "2017M03", 1.2 ], [ "2017M04", 1.5 ], [ "2017M05", 1.7 ], [ "2017M06", 2.0 ], [ "2017M07", 2.3 ], [ "2017M08", 2.7 ], [ "2017M09", 3.0 ], [ "2017M10", 3.3 ], [ "2017M11", 3.6 ], [ "2017M12", 3.7 ], [ "2018M01", 3.8 ], [ "2018M02", 3.8 ], [ "2018M03", 3.7 ], [ "2018M04", 3.6 ], [ "2018M05", 3.6 ], [ "2018M06", 3.5 ], [ "2018M07", 3.4 ], [ "2018M08", 3.1 ], [ "2018M09", 3.0 ], [ "2018M10", 2.8 ], [ "2018M11", 2.7 ], [ "2018M12", 2.5 ], [ "2019M01", 2.4 ], [ "2019M02", 2.3 ], [ "2019M03", 2.3 ], [ "2019M04", 2.3 ], [ "2019M05", 2.3 ], [ "2019M06", 2.3 ], [ "2019M07", 2.3 ], [ "2019M08", 2.4 ], [ "2019M09", 2.3 ], [ "2019M10", 2.2 ], [ "2019M11", 2.2 ], [ "2019M12", 2.2 ], [ "2020M01", 2.4 ], [ "2020M02", 2.4 ], [ "2020M03", 2.3 ], [ "2020M04", 2.2 ], [ "2020M05", 2.0 ], [ "2020M06", 1.9 ], [ "2020M07", 1.7 ], [ "2020M08", 1.6 ], [ "2020M09", 1.5 ], [ "2020M10", 1.4 ], [ "2020M11", 1.3 ], [ "2020M12", 1.1 ], [ "2021M01", 0.8 ], [ "2021M02", 0.6 ], [ "2021M03", 0.6 ], [ "2021M04", 0.8 ], [ "2021M05", 1.0 ], [ "2021M06", 1.3 ], [ "2021M07", 1.5 ], [ "2021M08", 1.9 ], [ "2021M09", 2.3 ], [ "2021M10", 3.0 ], [ "2021M11", 3.7 ], [ "2021M12", 4.6 ], [ "2022M01", 5.6 ], [ "2022M02", 6.8 ], [ "2022M03", 7.9 ], [ "2022M04", 9.1 ], [ "2022M05", 10.4 ], [ "2022M06", 11.8 ], [ "2022M07", 13.2 ], [ "2022M08", 14.6 ], [ "2022M09", 15.9 ], [ "2022M10", 17.1 ], [ "2022M11", 18.1 ], [ "2022M12", 18.9 ], [ "2023M01", 19.3 ], [ "2023M02", 19.6 ], [ "2023M03", 19.5 ], [ "2023M04", 19.2 ], [ "2023M05", 18.4 ], [ "2023M06", 17.3 ], [ "2023M07", 16.1 ], [ "2023M08", 14.9 ], [ "2023M09", 13.3 ], [ "2023M10", 11.7 ], [ "2023M11", 10.2 ], [ "2023M12", 8.7 ], [ "2024M01", 7.3 ], [ "2024M02", 6.0 ], [ "2024M03", 4.8 ], [ "2024M04", 3.8 ], [ "2024M05", 3.0 ], [ "2024M06", 2.4 ], [ "2024M07", 1.9 ], [ "2024M08", 1.5 ], [ "2024M09", 1.2 ], [ "2024M10", 0.9 ], [ "2024M11", 0.8 ], [ "2024M12", 0.9 ], [ "2025M01", 1.0 ], [ "2025M02", 1.2 ], [ "2025M03", 1.5 ], [ "2025M04", 1.8 ], [ "2025M05", 1.9 ], [ "2025M06", 2.1 ], [ "2025M07", 2.3 ], [ "2025M08", 2.6 ], [ "2025M09", 2.8 ], [ "2025M10", 3.1 ], [ "2025M11", 3.3 ], [ "2025M12", 3.4 ], [ "2026M01", 3.4 ], [ "2026M02", 3.4 ], [ "2026M03", 3.5 ], [ "2026M04", 3.6 ], [ "2026M05", 3.7 ], [ "2026M06", 3.9 ], [ "2026M07", 4.1 ] ] } } }