Table Data - Consumer Price Indices (CPIs, HICPs), COICOP 1999: Consumer Price Index: Transport for India
| Title | Consumer Price Indices (CPIs, HICPs), COICOP 1999: Consumer Price Index: Transport for India |
|---|---|
| Series ID | INDCP070000GYM |
| Source | Organization for Economic Co-operation and Development |
| Release | Main Economic Indicators (Not a Press Release) |
| Seasonal Adjustment | Not Seasonally Adjusted |
| Frequency | Monthly |
| Units | Growth rate same period previous year |
| Date Range | 2014-01-01 to 2019-05-01 |
| Last Updated | 2024-05-15 2:01 PM CDT |
| Notes | OECD Data Filters: REF_AREA: IND MEASURE: CPI UNIT_MEASURE: PA METHODOLOGY: N EXPENDITURE: CP07 ADJUSTMENT: N TRANSFORMATION: GY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/. (accessed on (date)). |
| DATE | VALUE |
|---|---|
| 2014-01-01 | 7.70712899999999900 |
| 2014-02-01 | 6.76835099999999900 |
| 2014-03-01 | 6.23229500000000000 |
| 2014-04-01 | 6.45774000000000000 |
| 2014-05-01 | 7.88461499999999900 |
| 2014-06-01 | 7.11574900000000000 |
| 2014-07-01 | 6.02968500000000000 |
| 2014-08-01 | 4.59558799999999900 |
| 2014-09-01 | 1.34892099999999980 |
| 2014-10-01 | 1.53707099999999990 |
| 2014-11-01 | 0.36166360000000000 |
| 2014-12-01 | -0.81081080000000000 |
| 2015-01-01 | -2.41502700000000030 |
| 2015-02-01 | -3.48214300000000000 |
| 2015-03-01 | -2.57777800000000000 |
| 2015-04-01 | -2.14094600000000000 |
| 2015-05-01 | -0.08912656000000000 |
| 2015-06-01 | 0.44286980000000004 |
| 2015-07-01 | -0.96237969999999980 |
| 2015-08-01 | -1.93321600000000000 |
| 2015-09-01 | -1.68589199999999970 |
| 2015-10-01 | -1.24666100000000000 |
| 2015-11-01 | 0.00000000000000000 |
| 2015-12-01 | 0.81743870000000000 |
| 2016-01-01 | 1.28322600000000000 |
| 2016-02-01 | 2.12765999999999970 |
| 2016-03-01 | 0.18248180000000000 |
| 2016-04-01 | 1.54968099999999990 |
| 2016-05-01 | 0.00000000000000000 |
| 2016-06-01 | 0.52910050000000000 |
| 2016-07-01 | 0.26501770000000000 |
| 2016-08-01 | 0.71684590000000000 |
| 2016-09-01 | 2.88808700000000000 |
| 2016-10-01 | 3.87736700000000000 |
| 2016-11-01 | 4.32432400000000000 |
| 2016-12-01 | 4.86486500000000000 |
| 2017-01-01 | 6.60633500000000050 |
| 2017-02-01 | 7.15579700000000000 |
| 2017-03-01 | 8.01457200000000000 |
| 2017-04-01 | 5.20646299999999900 |
| 2017-05-01 | 4.72792100000000000 |
| 2017-06-01 | 2.63157900000000000 |
| 2017-07-01 | 2.46696000000000000 |
| 2017-08-01 | 4.80427000000000000 |
| 2017-09-01 | 4.56140300000000000 |
| 2017-10-01 | 2.95138900000000000 |
| 2017-11-01 | 3.02245300000000000 |
| 2017-12-01 | 2.57732000000000030 |
| 2018-01-01 | 2.37690999999999960 |
| 2018-02-01 | 3.04311100000000000 |
| 2018-03-01 | 3.62563200000000000 |
| 2018-04-01 | 5.80204800000000000 |
| 2018-05-01 | 6.72913100000000000 |
| 2018-06-01 | 7.94871799999999950 |
| 2018-07-01 | 8.77042100000000000 |
| 2018-08-01 | 8.14940500000000000 |
| 2018-09-01 | 8.89261700000000000 |
| 2018-10-01 | 10.20236000000000000 |
| 2018-11-01 | 7.96311800000000000 |
| 2018-12-01 | 5.44388600000000000 |
| 2019-01-01 | 4.31177400000000000 |
| 2019-02-01 | 3.60951600000000000 |
| 2019-03-01 | 3.41741300000000000 |
| 2019-04-01 | 2.74193500000000000 |
| 2019-05-01 | 1.59616900000000000 |