The economic climate indicator in Portugal increased to -0.5 in September of 2020 from -1.3 in the previous month. It was the highest reading since April but remains pre-pandemic levels. Sentiment improved among service providers (-27.7 vs -37.7 in August), traders (-9.7 vs -13.8), constructors (-14.4 vs -17.9) and manufacturers (-14.3 vs -17.3).

Business Confidence in Portugal averaged 1.67 points from 1989 until 2020, reaching an all time high of 5.10 points in March of 1989 and a record low of -4.30 points in June of 2020. This page provides the latest reported value for - Portugal Business Confidence - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Portugal Business Confidence - data, historical chart, forecasts and calendar of releases - was last updated on October of 2020.

Business Confidence in Portugal is expected to be -1.60 points by the end of this quarter, according to Trading Economics global macro models and analysts expectations. Looking forward, we estimate Business Confidence in Portugal to stand at -0.50 in 12 months time. In the long-term, the Portugal Business Confidence is projected to trend around 0.10 points in 2021 and 0.80 points in 2022, according to our econometric models.

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Portugal Business Confidence

Actual Previous Highest Lowest Dates Unit Frequency
-0.50 -1.30 5.10 -4.30 1989 - 2020 points Monthly


Calendar GMT Actual Previous Consensus TEForecast
2020-06-29 08:30 AM Jun -4.4 -3.2 -2.6
2020-07-30 08:30 AM Jul -2.9 -4.3 -4
2020-08-28 08:30 AM Aug -1.3 -2.9 -2.4
2020-09-29 08:30 AM Sep -0.5 -1.3 -1.6
2020-10-29 09:30 AM Oct -0.5 -1
2020-11-27 09:30 AM Nov


News Stream
Portugal Business Morale Continues to Recover
The economic climate indicator in Portugal increased to -0.5 in September of 2020 from -1.3 in the previous month. It was the highest reading since April but remains pre-pandemic levels. Sentiment improved among service providers (-27.7 vs -37.7 in August), traders (-9.7 vs -13.8), constructors (-14.4 vs -17.9) and manufacturers (-14.3 vs -17.3).
2020-09-29
Portugal Business Morale at 4-Month High
The economic climate indicator in Portugal increased to -1.3 in August of 2020 from -2.9 in the previous month. It was the highest reading since April, as sentiment improved among service providers (-37.1 vs -46.9 in July), traders (-13.8 vs -20.7), constructors (-17.9 vs -23.2) and manufacturers (-17.3 vs -25.6).
2020-08-28
Portugal Business Climate Recovers from Record Low, But Remains Weak
The economic climate indicator in Portugal increased to -2.9 in July 2020 from an all-time low of -4.3 in the previous month, as the economy recovers from the coronavirus shock. Still, the reading was among the weakest on record. Sentiment improved among service providers (-46.9 vs -52.9 in June), traders (-20.7 vs -26.3), constructors (-23.2 vs -29.1) and manufacturers (-25.6 vs -31.7).
2020-07-30
Portugal Business Confidence Falls to Record Low
The economic climate indicator in Portugal fell for the fourth month to -4.4 in June of 2020 from -3.2 in May, reaching the lowest value on record as businesses continued to be affected by the coronavirus crisis and the number of new infections in the country continues to rise. Confidence deteriorated among service providers (-52.9 vs -39.6 in May), manufacturers (-31.7 vs -26.8), constructors (-29.1 vs -24.3) and retailers (-28.3 vs -21.4).
2020-06-29

Portugal Business Confidence
In Portugal, the National Statistics Institute (INE) economic climate indicator on three terms moving averages is calculated in order to receive a timely composite indicator for the several sectors of economic activity. It is estimated using balances of questions from the Manufacturing Industry (1179 companies), Trade (1102 companies), Construction and Public Works (822 companies) and Services (1427 companies) surveys. The calculation is based on the factor analysis and the estimated series (the common component) is calibrated using the GDP change rates. The use of moving averages smooths out the series by removing the irregular movements, allowing the detection of the short-term trends.