Markit Japan Services Purchasing Managers Index (PMI)

Country:
Japan
JPY, Japanese yen
Source:
Sector:
Business
Medium 25.3 22
21.5
Last release Importance Actual Forecast
Previous
25.3
25.3
Next release Actual Forecast
Previous
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Markit Services PMI reflects the business environment in Japanese service sector. The index is calculated monthly based on the survey of the service industry company managers about the sales, amount of orders in the industry, employment and forecasts. This is one of the key indicators to measure the trust of large corporations in the country's economic development.

Markit PMI surveys select companies that are representative of major industries in each country and appropriately reflect business conditions. Survey data is acquired directly from more than 5,000 purchasing personnel and other executives. The surveys are believed to provide information on changes in business conditions earlier than other economic indicators. In addition, it is easy to compare with other countries, because the same question is asked about the same item in all countries/regions to be surveyed.

This index captures changes in new orders, jobs, and prices, and is a leading indicator of economic trends.

A higher than expected index should be taken as positive/bullish for JPY, while a lower than expected index should be taken as negative/bearish for JPY.

Last values:

actual data

forecast

The chart of the entire available history of the "Markit Japan Services Purchasing Managers Index (PMI)" macroeconomic indicator. The dashed line shows the forecast values ​​of the economic indicator for the specified dates.

A significant deviation of a real value from a forecast one may cause a short-term strengthening or weakening of a national currency in the Forex market. The threshold values ​​of the indicators signaling the approach of the critical state of the national (local) economy occupy a special place.

Date (GMT)
Reference
Actual
Forecast
Previous
May 2020 prelim.
25.3
22
21.5
Apr 2020
21.5
22.8
22.8
Apr 2020 prelim.
22.8
3.2
33.8
Mar 2020
33.8
32.7
32.7
Mar 2020 prelim.
32.7
51
46.8
Feb 2020
46.8
46.7
46.7
Feb 2020 prelim.
46.7
50.7
51
Jan 2020
51
52.1
52.1
Jan 2020 prelim.
52.1
50.7
49.4
Dec 2019
49.4
50.6
50.6
Dec 2019 prelim.
50.6
50.5
50.3
Nov 2019
50.3
50.4
50.4
Nov 2019 prelim.
50.4
52.4
49.7
Oct 2019
49.7
50.3
50.3
Oct 2019 prelim.
50.3
53.4
52.8
Sep 2019
52.8
52.8
52.8
Sep 2019 prelim.
52.8
53
53.3
Aug 2019
53.3
53.4
53.4
Aug 2019 prelim.
53.4
52
51.8
Jul 2019
51.8
52.3
52.3
Jul 2019 prelim.
52.3
52
51.9
Jun 2019
51.9
52
51.7
May 2019
51.7
51.9
51.8
Apr 2019
51.8
51.8
52
Mar 2019
52
52.1
52.3
Feb 2019
52.3
52.1
51.6
Jan 2019
51.6
52.2
51
Dec 2018
51
51.8
52.3
Nov 2018
52.3
51.4
52.4
Oct 2018
52.4
51.5
50.7
Sep 2018
50.7
51.8
51.5
Aug 2018
51.5
51.7
51.3
Jul 2018
51.3
51.6
51.4
Jun 2018
51.4
51.6
51
May 2018
51
51.9
52.5
Apr 2018
52.5
51.7
50.9
Mar 2018
50.9
51.6
51.7
Feb 2018
51.7
52
51.9
Jan 2018
51.9
49.9
51.1
Dec 2017
51.1
52.5
51.2
Nov 2017
51.2
52.4
53.4
Oct 2017
53.4
50.8
51
Sep 2017
51
50.7
51.6
Aug 2017
51.6
51.1
52
Jul 2017
52
53.1
53.3
Jun 2017
53.3
52.7
53
May 2017
53
52.4
52.2
Apr 2017
52.2
52.9
Mar 2017
52.9
51.3
Feb 2017
51.3
51.9

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