Time series of the IAB Labor Market Barometer - IAB - Institut für Arbeitsmarkt- und Berufsforschung

Values above 100 signal a positive outlook, values below 100 signal a negative outlook.

Year	Month	Component A Unemployment	Component B Employment	Labour Market Barometer
2008	November	95.4	No data available	No data available
2008	December	95.1	No data available	No data available
2009	January	95.0	No data available	No data available
	Februar	94.8	No data available	No data available
	March	93.8	No data available	No data available
	April	93.0	No data available	No data available
	May	93.8	No data available	No data available
	June	95.3	No data available	No data available
	July	97.7	No data available	No data available
	August	100.3	No data available	No data available
	September	101.3	No data available	No data available
	October	102.1	No data available	No data available
	November	102.8	No data available	No data available
	December	103.5	No data available	No data available
2010	November	103.3	No data available	No data available
	December	101.9	No data available	No data available
	January	101.8	No data available	No data available
	Februar	104.2	No data available	No data available
	March	105.9	No data available	No data available
	April	106.3	No data available	No data available
	May	104.9	No data available	No data available
	June	104.8	No data available	No data available
	July	103.6	No data available	No data available
	August	103.4	No data available	No data available
	September	102.8	No data available	No data available
	October	102.0	No data available	No data available
2011	November	102.0	No data available	No data available
	December	102.2	106.9	104.6
	November	102.7	107.2	105.0
	December	102.9	107.1	105.0
	January	102.8	107.3	105.1
	Februar	102.5	107.3	104.9
	March	101.8	107.1	104.5
	April	101.0	106.1	103.6
	May	100.9	105.9	103.4
	June	100.7	105.4	103.1
	July	101.0	105.3	103.2
	August	100.9	105.0	103.0
2012	September	100.9	104.9	102.9
	October	99.9	104.7	102.3
	November	99.7	104.6	102.2
	December	99.4	104.5	102.0
	November	99.1	104.2	101.7
	December	98.5	103.7	101.1
	January	97.3	103.5	100.4
	Februar	97.5	103.4	100.5
	March	97.7	103.2	100.5
	April	97.9	103.2	100.6
	May	98.1	102.4	100.3
	June	98.4	102.6	100.5
2013	July	98.5	102.7	100.6
	August	99.7	103.1	101.4
	September	99.9	103.4	101.7
	October	99.0	103.0	101.0
	November	98.3	102.6	100.5
	December	99.1	103.0	101.1
	November	100.4	103.0	101.7
	December	101.1	103.0	102.1
	January	100.8	103.5	102.2
	Februar	100.5	104.0	102.3
	March	100.1	104.2	102.2
	April	100.0	104.4	102.2
2014	May	100.4	104.3	102.4
	June	101.3	104.6	103.0
	July	100.8	104.3	102.6
	August	100.7	104.8	102.8
	September	100.4	105.2	102.8
	October	100.2	105.0	102.6
	November	100.2	104.8	102.5
	December	100.3	104.6	102.5
	November	100.4	104.5	102.5
	December	100.6	103.7	102.2
	January	100.6	104.2	102.4
	Februar	100.9	104.2	102.6
2015	March	100.8	104.0	102.4
	April	100.6	104.2	102.4
	May	100.5	104.7	102.6
	June	100.4	104.8	102.6
	July	100.5	105.3	102.9
	August	100.7	105.6	103.2
	September	101.0	105.4	103.2
	October	101.1	105.9	103.5
	November	100.7	105.8	103.3
	December	100.4	105.7	103.1
	November	100.3	105.6	103.0
	December	100.2	106.2	103.2
2016	January	99.8	105.9	102.9
	Februar	100.1	105.4	102.8
	March	99.2	105.1	102.2
	April	99.5	105.4	102.5
	May	99.4	105.1	102.3
	June	100.3	105.2	102.8
	July	100.8	105.7	103.3
	August	101.5	106.0	103.8
	September	100.9	106.2	103.6
	October	100.6	106.1	103.4
	November	100.4	105.9	103.2
	December	100.7	105.9	103.3
2017	January	101.0	105.9	103.5
	Februar	101.0	106.0	103.5
	March	101.2	105.9	103.6
	April	101.6	106.2	103.9
	May	101.9	106.7	104.3
	June	101.9	106.2	104.1
	July	101.5	106.7	104.1
	August	101.7	106.4	104.1
	September	101.5	106.5	104.0
	October	102.4	106.5	104.5
	November	102.1	106.3	104.2
	December	101.9	106.3	104.1
2018	January	101.9	106.5	104.2
	Februar	101.7	106.5	104.1
	March	102.0	107.0	104.5
	April	101.4	106.4	103.9
	May	101.1	106.6	103.9
	June	101.3	106.9	104.1
	July	101.5	106.5	104.0
	August	101.6	106.2	103.9
	September	101.4	105.8	103.6
	October	101.7	105.8	103.8
	November	101.3	105.9	103.6
	December	100.8	105.6	103.2
2019	January	100.1	105.5	102.8
	Februar	100.0	105.3	102.7
	March	99.4	105.1	102.3
	April	99.7	105.7	102.7
	May	99.3	105.1	102.2
	June	98.7	104.6	101.7
	July	98.5	103.9	101.2
	August	98.1	103.2	100.7
	September	98.8	103.4	101.1
	October	98.7	103.3	101.0
	November	99.2	103.1	101.2
	December	99.4	103.2	101.3
2020	January	99.1	103.3	101.2
	Februar	98.8	103.5	101.2
	March	98.1	102.4	100.3
	April	92.9	94.8	93.9
	May	93.3	95.2	94.3
	June	94.0	95.3	94.7
	July	96.8	95.9	96.4
	August	98.1	96.7	97.4
	September	100.9	97.9	99.4
	October	100.9	98.6	99.8
	November	101.1	99.4	100.3
	December	101.6	100.3	101.0
2021	January	101.4	100.4	100.9
	Februar	101.2	101.3	101.3
	March	102.3	101.8	102.1
	April	103.5	102.0	102.8
	May	105.7	103.5	104.6
	June	107.6	106.8	107.2
	July	107.7	105.1	106.4
	August	107.2	106.7	107.0
	September	105.1	106.8	106.0
	October	103.2	106.9	105.1
	November	102.4	106.7	104.6
	December	99.9	104.8	102.4
2022	January	101.1	105.1	103.1
	Februar	103.3	106.2	104.8
	March	103.4	105.9	104.7
	April	104.7	105.9	105.3
	May	102.0	105.5	103.8
	June	98.2	105.3	101.8
	July	98.2	104.9	101.6
	August	98.0	103.8	100.9
	September	97.3	103.6	100.5
	October	97.4	103.3	100.4
	November	97.9	103.4	100.7
	December	98.5	103.5	101.0
2023	January	100.0	104.1	102.1
	Februar	99.6	104.3	102.0
	March	99.4	104.4	101.9
	April	98.3	104.6	101.5
	May	98.1	104.3	101.2
	June	98.0	103.1	100.6
	July	98.2	103.1	100.7
	August	97.7	102.7	100.2
	September	97.4	102.1	99.8
	October	97.3	102.1	99.7
	November	97.4	101.8	99.6
	December	97.5	102.1	99.8
2024	January	97.2	102.1	99.7
	Februar	97.6	101.7	99.7
	March	97.9	102.0	100.0
	April	98.6	101.9	100.3
	May	97.9	101.5	99.7
	June	98.3	101.7	100.0
	July	98.3	101.7	100.0
	August	98.6	101.2	99.9
	September	98.5	101.2	99.9
	October	98.1	101.3	99.7
	November	98.0	101.0	99.5
	December	97.9	100.9	99.4
2025	January	97.5	100.5	99.0
	Februar	97.4	100.2	98.8
	March	97.4	100.3	98.9
	April	97.8	100.4	99.1
	May	98.2	100.2	99.2
	June	98.3	100.4	99.4
	July	99.4	100.2	99.8
	August	99.9	100.5	100.2
	September	100.3	100.5	100.4
	October	100.1	100.1	100.1
	November	100.0	100.5	100.3
	December	99.9	100.2	100.1
2026	January	99.6	100.4	100.0
	Februar	98.7	100.4	99.6
	March	98.6	100.4	99.5
	April	98.9	100.1	99.5
	May	99.1	100.1	99.6
	June	99.3	99.9	99.6

Source: IAB calculations, BA statistics, BA labor market reporting. ©IAB

Period surveyed

November 2008 until June 2026

Date of publication

2026/6/26

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Time series of the IAB Labor Market Barometer(XLS)

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The data on the Time series of the IAB Labor Market Barometer are published under the following Creative Commons license: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).

Publications

Frühindikator für Arbeitslosigkeit und Beschäftigung: IAB-Arbeitsmarktbarometer 2.0
Hutter, Christian, Enzo Weber, Katrin Schmidt & Silke Delfs (2016): Frühindikator für Arbeitslosigkeit und Beschäftigung: IAB-Arbeitsmarktbarometer 2.0. (IAB-Kurzbericht 09/2016), Nürnberg, 6 S.
Constructing a new leading indicator for unemployment from a survey among German employment agencies
Hutter, Christian; Weber, Enzo (2015): Constructing a new leading indicator for unemployment from a survey among German employment agencies. In: Applied Economics, Vol. 47, No. 33, S. 3540-3558.
Neuer Frühindikator für die Entwicklung der Arbeitslosigkeit: Startschuss für das IAB-Arbeitsmarktbarometer
Hutter, Christian, Enzo Weber, Katrin Schmidt & Silke Delfs (2013): Neuer Frühindikator für die Entwicklung der Arbeitslosigkeit: Startschuss für das IAB-Arbeitsmarktbarometer. (IAB-Kurzbericht 20/2013), Nürnberg, 8 S.
Entwicklung eines neuen Leitindikators für Arbeitslosigkeit aus einer Umfrage in deutschen Arbeitsagenturen
Hutter, Christian & Enzo Weber (2013): Constructing a new leading indicator for unemployment from a survey among German employment agencies. (IAB-Discussion Paper 17/2013), Nürnberg, 30 S.

Period surveyed

Date of publication

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