Business survey Netherlands; to sector/branches
| Sector/branches (SBI 2008) | Margin | Seasonal adjustment | Periods | Production and capacity utilisation Capacity utilisation (%) | Production and capacity utilisation Production/activity past three months Production/activity has increased (%) | Production and capacity utilisation Production/activity past three months Production/activity remained unchanged (%) | Production and capacity utilisation Production/activity past three months Production/activity has decreased (%) | Production and capacity utilisation Production/activity past three months Balance production last three months (%) | Production and capacity utilisation Production/activity next three months Production/activity will increase (%) | Production and capacity utilisation Production/activity next three months Production/activity will be unchanged (%) | Production and capacity utilisation Production/activity next three months Production/activity will decrease (%) | Production and capacity utilisation Production/activity next three months Balance production next three months (%) | Production and capacity utilisation Assessment of production capacity Production capacity is (too) large (%) | Production and capacity utilisation Assessment of production capacity Production capacity is normal (%) | Production and capacity utilisation Assessment of production capacity Production capacity is (too) small (%) | Production and capacity utilisation Assessment of production capacity Not applicable (%) | Production and capacity utilisation Assessment of production capacity Balance assessed capacity (%) | Assessment of finished products stocks Stocks finished products (too) large (%) | Assessment of finished products stocks Stocks finished products normal (%) | Assessment of finished products stocks Stocks finished products (too) small (%) | Assessment of finished products stocks Not applicable (%) | Assessment of finished products stocks Balance assessment stocks (%) | Factors limiting production None (%) | Factors limiting production Insufficient demand (%) | Factors limiting production Labour shortage (%) | Factors limiting production Shortage of material and/or equipment (%) | Factors limiting production Financial constraints (%) | Factors limiting production Weather (%) | Factors limiting production Other factors (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 April | 82.0 | 11.9 | 68.6 | 19.5 | -7.6 | 15.1 | 76.7 | 8.2 | 6.9 | 6.9 | 79.5 | 9.3 | 4.3 | -2.4 | 9.3 | 80.6 | 2.9 | 7.2 | 6.3 | 43.0 | 15.2 | 29.2 | 13.1 | 4.8 | 3.9 | 10.0 |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 May | . | 12.9 | 74.3 | 12.8 | 0.1 | 16.3 | 74.5 | 9.2 | 7.1 | . | . | . | . | . | 10.1 | 76.0 | 5.1 | 8.8 | 4.9 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 June | . | 14.5 | 73.6 | 11.9 | 2.6 | 15.9 | 72.3 | 11.8 | 4.2 | . | . | . | . | . | 9.7 | 75.9 | 6.1 | 8.3 | 3.5 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 July | 80.0 | 14.0 | 75.5 | 10.5 | 3.5 | 11.1 | 76.5 | 12.4 | -1.2 | 5.2 | 83.8 | 7.2 | 3.8 | -1.9 | 9.7 | 77.6 | 6.4 | 6.3 | 3.2 | 30.5 | 18.8 | 29.9 | 22.2 | 5.6 | 5.2 | 8.5 |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 August | . | 10.0 | 75.1 | 14.9 | -4.9 | 14.9 | 78.1 | 7.0 | 7.9 | . | . | . | . | . | 11.8 | 76.1 | 4.5 | 7.6 | 7.3 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 September | . | 8.0 | 73.9 | 18.1 | -10.2 | 23.6 | 67.7 | 8.7 | 14.9 | . | . | . | . | . | 8.2 | 79.9 | 3.1 | 8.8 | 5.2 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 October | 81.8 | 9.8 | 76.3 | 13.9 | -4.1 | 21.8 | 72.2 | 6.0 | 15.7 | 9.1 | 80.4 | 6.7 | 3.8 | 2.4 | 7.9 | 81.7 | 3.6 | 6.8 | 4.3 | 33.0 | 17.5 | 30.6 | 19.9 | 16.2 | 2.1 | 7.2 |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 November | . | 12.3 | 75.4 | 12.3 | 0.1 | 26.1 | 65.0 | 8.9 | 17.1 | . | . | . | . | . | 7.1 | 78.7 | 6.0 | 8.2 | 1.1 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2023 December | . | 19.5 | 70.5 | 10.0 | 9.4 | 13.5 | 71.1 | 15.4 | -1.9 | . | . | . | . | . | 9.5 | 78.5 | 3.6 | 8.4 | 6.0 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2024 January | 79.0 | 22.6 | 66.3 | 11.1 | 11.6 | 8.3 | 67.8 | 23.9 | -15.7 | 9.6 | 82.6 | 3.5 | 4.3 | 6.2 | 4.3 | 84.2 | 6.2 | 5.3 | -1.9 | 38.9 | 16.2 | 20.2 | 15.0 | 11.3 | 6.0 | 9.2 |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2024 February | . | 15.4 | 78.1 | 6.5 | 9.0 | 7.7 | 79.3 | 13.0 | -5.2 | . | . | . | . | . | 3.5 | 83.0 | 5.9 | 7.6 | -2.3 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Value | Original, unadjusted data | 2024 March | . | 6.4 | 74.5 | 19.1 | -12.8 | 10.7 | 82.7 | 6.6 | 4.0 | . | . | . | . | . | 4.9 | 83.1 | 4.1 | 7.9 | 0.9 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 April | 80.2 | 7.6 | 62.9 | 14.6 | -14.9 | 10.6 | 71.4 | 4.7 | 0.6 | 4.0 | 74.6 | 5.8 | 1.4 | -7.3 | 6.4 | 76.1 | 0.7 | 3.9 | 2.6 | 36.9 | 11.1 | 23.5 | 9.0 | 1.7 | 2.7 | 7.5 |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 May | . | 8.4 | 68.8 | 8.7 | -6.6 | 11.6 | 69.0 | 5.3 | 0.6 | . | . | . | . | . | 7.2 | 70.5 | 2.4 | 4.7 | 0.6 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 June | . | 9.8 | 68.1 | 8.0 | -3.9 | 11.2 | 66.6 | 7.5 | -2.7 | . | . | . | . | . | 6.6 | 70.4 | 2.6 | 4.4 | -1.4 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 July | 78.0 | 10.1 | 70.4 | 6.8 | -2.4 | 7.4 | 71.4 | 8.3 | -7.1 | 2.3 | 79.1 | 4.1 | 1.3 | -6.4 | 6.0 | 72.3 | 3.3 | 3.0 | -1.9 | 25.4 | 14.1 | 24.2 | 18.3 | 2.5 | 2.1 | 5.8 |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 August | . | 6.3 | 69.8 | 10.4 | -11.0 | 10.8 | 73.0 | 3.7 | 2.2 | . | . | . | . | . | 8.1 | 70.6 | 2.1 | 3.7 | 2.8 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 September | . | 4.5 | 68.4 | 13.0 | -16.9 | 18.3 | 62.0 | 5.4 | 8.0 | . | . | . | . | . | 5.3 | 74.8 | 1.5 | 4.9 | 1.9 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 October | 80.0 | 6.3 | 71.2 | 9.6 | -10.0 | 16.5 | 66.7 | 3.5 | 9.4 | 5.4 | 75.5 | 4.2 | 1.1 | -2.3 | 4.4 | 76.6 | 1.6 | 3.5 | 0.2 | 27.1 | 13.4 | 24.9 | 16.2 | 12.1 | 0.3 | 5.0 |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 November | . | 8.6 | 70.5 | 8.6 | -5.6 | 20.6 | 59.3 | 5.6 | 10.0 | . | . | . | . | . | 4.2 | 73.6 | 3.8 | 4.3 | -2.6 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 December | . | 14.6 | 65.0 | 6.5 | 2.7 | 9.4 | 65.6 | 10.9 | -8.6 | . | . | . | . | . | 6.0 | 73.4 | 2.2 | 4.7 | 2.1 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2024 January | 75.9 | 16.5 | 59.8 | 7.4 | 4.0 | 4.6 | 61.3 | 17.8 | -23.3 | 5.5 | 77.1 | 0.8 | 1.0 | 1.1 | 1.8 | 79.3 | 3.5 | 1.8 | -5.8 | 32.0 | 11.1 | 14.3 | 11.9 | 8.9 | 2.7 | 5.5 |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2024 February | . | 10.3 | 72.2 | 3.2 | 2.5 | 3.8 | 73.8 | 8.7 | -11.3 | . | . | . | . | . | 1.3 | 77.5 | 2.4 | 3.5 | -6.4 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Lower bound 95% confidence interval | Original, unadjusted data | 2024 March | . | 3.5 | 68.4 | 13.6 | -19.3 | 6.2 | 77.4 | 3.3 | -1.9 | . | . | . | . | . | 2.5 | 78.0 | 1.6 | 4.0 | -2.6 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 April | 83.8 | 16.2 | 74.3 | 24.4 | -0.3 | 19.6 | 82.0 | 11.7 | 13.2 | 9.8 | 84.4 | 12.8 | 7.2 | 2.5 | 12.2 | 85.1 | 5.1 | 10.5 | 10.0 | 49.1 | 19.3 | 34.9 | 17.2 | 7.9 | 5.1 | 12.5 |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 May | . | 17.4 | 79.8 | 16.9 | 6.8 | 21.0 | 80.0 | 13.1 | 13.6 | . | . | . | . | . | 13.0 | 81.5 | 7.8 | 12.9 | 9.2 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 June | . | 19.2 | 79.1 | 15.8 | 9.1 | 20.6 | 78.0 | 16.1 | 11.1 | . | . | . | . | . | 12.8 | 81.4 | 9.6 | 12.2 | 8.4 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 July | 82.0 | 17.9 | 80.6 | 14.2 | 9.4 | 14.8 | 81.6 | 16.5 | 4.7 | 8.1 | 88.5 | 10.3 | 6.3 | 2.6 | 13.4 | 82.9 | 9.5 | 9.6 | 8.3 | 35.6 | 23.5 | 35.6 | 26.1 | 8.7 | 8.3 | 11.2 |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 August | . | 13.7 | 80.4 | 19.4 | 1.2 | 19.0 | 83.2 | 10.3 | 13.6 | . | . | . | . | . | 15.5 | 81.6 | 6.9 | 11.5 | 11.8 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 September | . | 11.5 | 79.4 | 23.2 | -3.5 | 28.9 | 73.4 | 12.0 | 21.8 | . | . | . | . | . | 11.1 | 85.0 | 4.7 | 12.7 | 8.5 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 October | 83.6 | 13.3 | 81.4 | 18.2 | 1.8 | 27.1 | 77.7 | 8.5 | 22.0 | 12.8 | 85.3 | 9.2 | 6.5 | 7.1 | 11.4 | 86.8 | 5.6 | 10.1 | 8.4 | 38.9 | 21.6 | 36.3 | 23.6 | 20.3 | 3.9 | 9.4 |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 November | . | 16.0 | 80.3 | 16.0 | 5.8 | 31.6 | 70.7 | 12.2 | 24.2 | . | . | . | . | . | 10.0 | 83.8 | 8.2 | 12.1 | 4.8 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 December | . | 24.4 | 76.0 | 13.5 | 16.1 | 17.6 | 76.6 | 19.9 | 4.8 | . | . | . | . | . | 13.0 | 83.6 | 5.0 | 12.1 | 9.9 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2024 January | 82.1 | 28.7 | 72.8 | 14.8 | 19.2 | 12.0 | 74.3 | 30.0 | -8.1 | 13.7 | 88.1 | 6.2 | 7.6 | 11.3 | 6.8 | 89.1 | 8.9 | 8.8 | 2.0 | 45.8 | 21.3 | 26.1 | 18.1 | 13.7 | 9.3 | 12.9 |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2024 February | . | 20.5 | 84.0 | 9.8 | 15.5 | 11.6 | 84.8 | 17.3 | 0.9 | . | . | . | . | . | 5.7 | 88.5 | 9.4 | 11.7 | 1.8 | . | . | . | . | . | . | . |
| 10 Manufacture of food products | Upper bound 95% confidence interval | Original, unadjusted data | 2024 March | . | 9.3 | 80.6 | 24.6 | -6.3 | 15.2 | 88.0 | 9.9 | 9.9 | . | . | . | . | . | 7.3 | 88.2 | 6.6 | 11.8 | 4.4 | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 April | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 May | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 June | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 July | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 August | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 September | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 October | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 November | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2023 December | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2024 January | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2024 February | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Value | Original, unadjusted data | 2024 March | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 April | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 May | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 June | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 July | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 August | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 September | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 October | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 November | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2023 December | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2024 January | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2024 February | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Lower bound 95% confidence interval | Original, unadjusted data | 2024 March | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 April | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 May | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 June | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 July | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 August | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 September | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 October | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 November | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2023 December | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2024 January | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2024 February | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 12 Manufacture of tobacco products | Upper bound 95% confidence interval | Original, unadjusted data | 2024 March | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 April | 78.0 | 16.3 | 58.0 | 25.7 | -9.3 | 15.5 | 79.1 | 5.4 | 10.1 | 5.6 | 84.0 | 6.9 | 3.5 | -1.2 | 20.3 | 66.3 | 5.1 | 8.3 | 15.2 | 33.9 | 25.9 | 32.5 | 18.9 | 1.8 | 4.1 | 5.1 |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 May | . | 13.3 | 61.6 | 25.1 | -11.8 | 11.3 | 68.7 | 20.0 | -8.7 | . | . | . | . | . | 16.3 | 65.6 | 6.9 | 11.2 | 9.4 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 June | . | 17.4 | 67.6 | 15.0 | 2.5 | 11.3 | 66.3 | 22.4 | -11.0 | . | . | . | . | . | 12.7 | 69.3 | 7.3 | 10.7 | 5.3 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 July | 75.6 | 12.9 | 62.6 | 24.5 | -11.6 | 5.1 | 71.2 | 23.7 | -18.7 | 4.7 | 77.7 | 14.2 | 3.4 | -9.5 | 18.1 | 64.8 | 6.7 | 10.4 | 11.4 | 34.7 | 29.7 | 26.2 | 17.6 | 2.9 | 7.1 | 2.5 |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 August | . | 11.6 | 66.1 | 22.3 | -10.7 | 15.4 | 72.9 | 11.7 | 3.8 | . | . | . | . | . | 15.0 | 70.0 | 4.0 | 11.0 | 10.9 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 September | . | 5.0 | 65.3 | 29.7 | -24.8 | 33.0 | 58.0 | 9.0 | 24.0 | . | . | . | . | . | 13.9 | 71.9 | 2.4 | 11.8 | 11.5 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 October | 78.3 | 4.5 | 68.2 | 27.3 | -22.9 | 23.4 | 69.2 | 7.4 | 16.0 | 10.2 | 65.8 | 20.5 | 3.5 | -10.3 | 10.0 | 69.6 | 9.6 | 10.8 | 0.4 | 32.8 | 39.9 | 24.0 | 16.9 | 12.0 | 4.1 | 1.1 |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 November | . | 8.4 | 58.3 | 33.3 | -24.9 | 26.2 | 59.1 | 14.7 | 11.5 | . | . | . | . | . | 6.5 | 80.5 | 4.7 | 8.3 | 1.7 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2023 December | . | 26.5 | 57.9 | 15.6 | 10.8 | 20.8 | 60.0 | 19.2 | 1.6 | . | . | . | . | . | 9.7 | 74.3 | 4.3 | 11.7 | 5.5 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2024 January | 79.3 | 27.7 | 54.3 | 18.0 | 9.7 | 12.6 | 81.2 | 6.2 | 6.4 | 5.2 | 82.2 | 11.7 | 0.9 | -6.5 | 13.7 | 72.3 | 5.7 | 8.3 | 7.9 | 33.4 | 27.6 | 29.9 | 16.4 | 2.6 | 0.8 | 7.1 |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2024 February | . | 24.6 | 58.7 | 16.7 | 7.8 | 20.4 | 69.9 | 9.7 | 10.7 | . | . | . | . | . | 13.9 | 75.8 | 1.5 | 8.8 | 12.3 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Value | Original, unadjusted data | 2024 March | . | 18.9 | 67.5 | 13.6 | 5.4 | 19.6 | 67.3 | 13.1 | 6.5 | . | . | . | . | . | 12.4 | 76.1 | 2.2 | 9.3 | 10.1 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 April | 73.5 | 8.5 | 43.7 | 12.0 | -26.4 | 5.3 | 66.8 | 0.0 | -3.8 | 0.0 | 73.8 | 6.1 | 0.0 | -9.0 | 8.3 | 52.4 | 5.1 | 0.0 | 3.2 | 20.2 | 12.2 | 20.7 | 11.1 | 1.0 | 0.0 | 0.0 |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 May | . | 6.4 | 48.7 | 12.9 | -26.7 | 4.0 | 56.2 | 8.6 | -23.2 | . | . | . | . | . | 5.9 | 52.7 | 5.7 | 0.8 | -1.2 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 June | . | 7.8 | 55.1 | 4.8 | -12.8 | 1.7 | 53.0 | 10.4 | -28.1 | . | . | . | . | . | 3.9 | 57.0 | 6.3 | 0.3 | -3.5 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 July | 70.5 | 3.3 | 49.1 | 12.0 | -29.4 | 3.3 | 61.2 | 13.7 | -28.9 | 0.0 | 66.9 | 6.8 | 0.0 | -19.9 | 9.7 | 52.5 | 3.4 | 0.0 | 2.0 | 21.2 | 16.8 | 17.8 | 8.2 | 1.5 | 0.0 | 0.7 |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 August | . | 2.6 | 52.8 | 10.7 | -26.6 | 5.2 | 60.7 | 3.3 | -10.5 | . | . | . | . | . | 7.4 | 57.3 | 3.0 | 0.0 | 3.1 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 September | . | 3.2 | 53.5 | 17.9 | -36.8 | 20.5 | 45.5 | 7.0 | 11.1 | . | . | . | . | . | 5.9 | 60.1 | 1.2 | 2.0 | 3.5 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 October | 74.6 | 2.7 | 57.8 | 16.9 | -33.5 | 12.4 | 58.0 | 5.6 | 4.8 | 0.8 | 53.6 | 12.9 | 0.0 | -23.2 | 1.8 | 57.3 | 3.1 | 1.0 | -10.4 | 19.9 | 27.2 | 15.8 | 8.1 | 2.2 | 0.0 | 0.1 |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 November | . | 1.5 | 45.8 | 21.3 | -39.6 | 15.4 | 47.5 | 7.4 | -3.0 | . | . | . | . | . | 0.0 | 70.1 | 3.5 | 0.0 | -5.2 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2023 December | . | 14.7 | 45.4 | 8.2 | -4.3 | 9.8 | 47.7 | 11.0 | -13.3 | . | . | . | . | . | 7.2 | 64.3 | 1.2 | 1.9 | 1.2 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2024 January | 76.4 | 15.9 | 42.1 | 12.5 | -4.0 | 10.1 | 78.5 | 4.6 | 3.3 | 4.6 | 76.7 | 6.4 | 0.0 | -12.0 | 9.6 | 62.3 | 0.4 | 0.1 | 1.0 | 21.2 | 19.0 | 17.7 | 6.4 | 1.4 | 0.4 | 0.0 |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2024 February | . | 14.2 | 47.7 | 11.4 | -4.4 | 12.2 | 60.3 | 3.4 | -0.3 | . | . | . | . | . | 10.0 | 67.4 | 0.7 | 1.0 | 8.4 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Lower bound 95% confidence interval | Original, unadjusted data | 2024 March | . | 10.5 | 58.5 | 9.7 | -4.0 | 13.3 | 58.7 | 6.2 | -3.5 | . | . | . | . | . | 10.8 | 68.3 | 1.0 | 1.5 | 8.1 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Upper bound 95% confidence interval | Original, unadjusted data | 2023 April | 82.5 | 24.1 | 72.3 | 39.4 | 7.8 | 25.7 | 91.4 | 13.6 | 24.0 | 13.4 | 94.2 | 7.7 | 10.6 | 6.6 | 32.3 | 80.2 | 5.1 | 18.5 | 27.2 | 47.6 | 39.6 | 44.3 | 26.7 | 2.6 | 12.1 | 13.1 |
| 13-15 Man. of textile-, leatherproducts | Upper bound 95% confidence interval | Original, unadjusted data | 2023 May | . | 20.2 | 74.5 | 37.3 | 3.1 | 18.6 | 81.2 | 31.4 | 5.8 | . | . | . | . | . | 26.7 | 78.5 | 8.1 | 21.6 | 20.0 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Upper bound 95% confidence interval | Original, unadjusted data | 2023 June | . | 27.0 | 80.1 | 25.2 | 17.8 | 20.9 | 79.6 | 34.4 | 6.1 | . | . | . | . | . | 21.5 | 81.6 | 8.3 | 21.1 | 14.1 | . | . | . | . | . | . | . |
| 13-15 Man. of textile-, leatherproducts | Upper bound 95% confidence interval | Original, unadjusted data | 2023 July | 80.7 | 22.5 | 76.1 | 37.0 | 6.2 | 6.9 | 81.2 | 33.7 | -8.5 | 11.4 | 88.5 | 21.6 | 9.5 | 0.9 | 26.5 | 77.1 | 10.0 | 20.8 | 20.8 | 48.2 | 42.6 | 34.6 | 27.0 | 4.3 | 16.5 | 4.3 |
| Source: CBS. | |||||||||||||||||||||||||||||
Dataset is not available.
This table provides up-to-date information, including uncertainty margins, about the opinions held by Dutch entrepreneurs on their achievements, expectations and judgments regarding their business. This panel survey is aimed at gaining insight into the current situation, future development and judgments of Dutch enterprises. As a result it is possible to detect turning points in optimism or pessimism at an early stage, providing an early indication of possible trend changes in the economic activities of Dutch enterprises. Data are broken down by main business activity (SITC 2008). The questions submitted to the entrepreneurs at the beginning of a quarter concern output, turnover, prices, order books, stocks, investments, competitive position, economic climate, staff size and the obstacles they have encountered. In answering the questions relating to developments in the past three months and expectations for the next three months, the entrepreneurs are asked for a comparison with the preceding period of three months.
Data available from: January 2012
Status of the figures: All figures are definitive.
Changes as of March 28th 2024:
Figures of March 2024 have been added.
An improvement has been made to the calculation of the margins. This may result in a small change in the upper and lower limit of the margin. The values are unchanged.
From now on figures will be labeled as seasonally adjusted or original, even if the table only contains one of these data types.
Data from October 2023 for sector F Construction has been corrected, which has led to small changes in all aggregations that include this sector for that period.
Changes as of March 7th 2024:
Due to a technical issue most figures of February 2024 were divided by 100. This now has been corrected.
When will new figures be published?
Figures of April are expected to be published the 16th of May 2024.
Description topics
- Production and capacity utilisation
- The weighted response rates to the questions:
- "The level of production/activity in the last three months has increased, remained unchanged or decreased?"
- "The level of production/activity in the next three months will increase, remain unchanged or decrease?"
- "The occupation/use of our available production capacity is currently around ...%"
- "We assess the current production capacity, given the expected market development as (too) large, normal or (too) small?"- Production/activity past three months
- The weighted response rates to the question:
- "The level of production/activity in the last three months, has increased, remained unchanged or decreased?"- Production/activity has increased
- The weighted response rate of producers indicating that the production/activity in the last three months has increased.
- Production/activity remained unchanged
- The weighted response rate of producers indicating that the production/activity in the last three months remained unchanged.
- Production/activity has decreased
- The weighted response rate of producers indicating that the production/activity in the last three months has decreased.
- Balance production last three months
- The weighted response rate of producers with increased production/activity minus the rate of producers with a decreased production. This balance shows the direction in which the production/activity in the last three months has developed.
- Production/activity next three months
- The weighted response rates to the question:
- "The level of production/activity in the next three month will increase, remain unchanged or decrease?"- Production/activity will increase
- Weighted response rate of producers who expect the production/activity in the next three months will increase.
- Production/activity will be unchanged
- Weighted response rate of producers who expect the production/activity in the next three months will remain unchanged.
- Production/activity will decrease
- Weighted response rate of producers who expect the production/activity in the next three months will decrease.
- Balance production next three months
- The weighted response rate of producers who expect an increase in production/activity minus the weighted response rate of producers who expect a decrease in production/activity. This balance shows the direction in which the production/activity in the next three months is expected to develop.
- Capacity utilisation
- The weighted response rate to the question:
- "The occupation/use of our available production capacity is currently around ...%"
- Assessment of production capacity
- The weighted response rates to the question:
- "We assess the current production capacity, given the expected market development as (too) large, normal or (too) small?"- Production capacity is (too) large
- Weighted response rate of producers who consider the current production capacity is (too) large, given the expected market development.
- Production capacity is normal
- Weighted response rate of producers who consider the current production capacity as normal, given the expected market development.
- Production capacity is (too) small
- Weighted response rate of producers who consider the current production capacity is (too) small, given the expected market development.
- Not applicable
- The weighted response rate of producers who consider production capacity not to be relevant for their enterprise plus the weighted response rate of producers who were not asked the question.
- Balance assessed capacity
- The weighted response rate of producers indicating that the production capacity is (too) large minus the rate of producers that consider this capacity is (too) small. This balance represents, compared to the previous balances, the current assessment of shortage or surplus of available capacity.
- Assessment of finished products stocks
- The weighted response rates to the question:
- "We evaluate our finished products stocks/commodities, given the expected market development, as a (too) large, normal or (too) small?"- Stocks finished products (too) large
- Weighted response rate of producers who consider the stocks of finished products/commodities, given the expected market development, as (too) large.
- Stocks finished products normal
- Weighted response rate of producers who consider the stocks of finished products/commodities, given the expected market development, as normal.
- Stocks finished products (too) small
- Weighted response rate of producers who consider the stocks of finished products/commodities, given the expected market development, as (too) small.
- Not applicable
- The weighted response rate of producers who who consider stocks of finished products/commodities for their for their enterprise as not relevant plus the weighted the rate of producers who were not asked the question.
- Balance assessment stocks
- The weighted response rate of producers indicating that the stocks of finished products/commodities are (too) large minus the rate of producers who consider the stocks are (too) small. This balance represents compared to the previous balances in relation to the expected sales development, the current assessment of satisfaction of the producers about their stocks of finished products.
- Factors limiting production
- The weighted response rates to the question:
- "Our production/business experience barriers:
1 - no barriers,
2 - insufficient demand,
3 - shortage of labour force,
4 - shortages of production equipment, materials, commodities, (retail) space,
5 - financial constraints,
6 - weather conditions,
7 - other causes?"- None
- Weighted response rate of producers indicating that at the beginning of the quarter they do not experience any obstacles blocking their business activities.
- Insufficient demand
- Weighted response rate of producers at the beginning of the quarter indicating that insufficient demand is a barrier for their activities.
- Labour shortage
- Weighted response rate of producers at the beginning of the quarter indicating that shortage of labour force is a barrier for their
activities.
- Shortage of material and/or equipment
- Weighted response rate of producers at the beginning of the quarter indicating that lack equipment or facilities/space/resources/materials is a barrier for their activities.
- Financial constraints
- Weighted response rate of producers at the beginning of the quarter indicating that finacial constraints are a barrier for their activities.
- Weather
- Weighted response rate of producers at the beginning of the quarter indicating that weather conditions is a limiting factor to meet the demand.
- Other factors
- Weighted response rate of producers at the beginning of the quarter indicating that other obstacles (like: to encounter strikes, work stoppages, penalties and the like) are a barrier for their activities.