Markit Japan Manufacturing Purchasing Managers Index (PMI)

Country:
Japan
JPY, Japanese yen
Source:
Sector:
Business
Medium 38.4 38.4
38.4
Last release Importance Actual Forecast
Previous
36.9
38.4
Next release Actual Forecast
Previous
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Markit Manufacturing PMI reflects the business environment in Japanese industrial sector. The index is calculated monthly based on surveys of manufacturing company manager about new orders, sales, inventory, suppliers and the industry outlook. This measures the activity level of purchasing managers in the manufacturing sector.

Markit PMI surveys select companies that are representative of major industries in each country and appropriately reflect business conditions, and provide the material that determines the business change at an earlier time than other economic indicators. The survey features the same questions about the same items in all countries and regions under investigation, so the data from different countries can be compared.

A reading above 50 indicates expansion in the sector; below 50 indicates contraction.

Because purchasing managers typically have early access to data about their performance, traders are looking closely at these releases. PMI is seen as a leading indicator of the overall economic development.

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 Manufacturing 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
38.4
38.4
38.4
May 2020 prelim.
38.4
42.2
41.9
Apr 2020
41.9
43.7
43.7
Apr 2020 prelim.
43.7
44.1
44.8
Mar 2020
44.8
44.8
44.8
Mar 2020 prelim.
44.8
47.6
47.8
Feb 2020
47.8
47.6
47.6
Feb 2020 prelim.
47.6
49
48.8
Jan 2020
48.8
49.3
49.3
Jan 2020 prelim.
49.3
48.7
48.4
Dec 2019
48.4
48.8
48.8
Dec 2019 prelim.
48.8
48.4
48.9
Nov 2019
48.9
48.6
48.6
Nov 2019 prelim.
48.6
48.7
48.4
Oct 2019
48.4
48.5
48.5
Oct 2019 prelim.
48.5
48.8
48.9
Sep 2019
48.9
48.9
48.9
Sep 2019 prelim.
48.9
49.8
49.3
Aug 2019
49.3
49.5
49.5
Aug 2019 prelim.
49.5
49.5
49.4
Jul 2019
49.4
49.6
49.6
Jul 2019 prelim.
49.6
49.7
49.3
Jun 2019
49.3
49.5
49.5
Jun 2019 prelim.
49.5
50.1
49.8
May 2019
49.8
49.6
49.6
May 2019 prelim.
49.6
49.8
50.2
Apr 2019
50.2
49.5
49.5
Apr 2019 prelim.
49.5
49
49.2
Mar 2019
49.2
48.9
48.9
Mar 2019 prelim.
48.9
49.1
48.9
Feb 2019
48.9
48.5
48.5
Feb 2019 prelim.
48.5
49.5
50.3
Jan 2019
50.3
50
50
Jan 2019 prelim.
50
52.1
52.6
Dec 2018
52.6
51.9
52.4
Dec 2018 prelim.
52.4
52
52.2
Nov 2018
52.2
52.1
51.8
Nov 2018 prelim.
51.8
53.1
52.9
Oct 2018
52.9
53.2
53.1
Oct 2018 prelim.
53.1
53.2
52.5
Sep 2018
52.5
53.4
52.9
Sep 2018 prelim.
52.9
52.9
52.5
Aug 2018
52.5
52.5
52.5
Aug 2018 prelim.
52.5
52
52.3
Jul 2018
52.3
52.2
51.6
Jul 2018 prelim.
51.6
52.7
53
Jun 2018
53
53
53.1
Jun 2018 prelim.
53.1
52.7
52.8
May 2018
52.8
53
52.5
May 2018 prelim.
52.5
53.3
53.8

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