Data Builder

Data builder

FBS data builder is a specialist interactive system for professionals and researchers. It allows direct interrogation of Farm Business Survey (FBS) data to construct user defined tables.

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FBS data builder. v74[3.1.a]: Table 16262   Performance - by farm type      
England:  2017/18       ALL —————     —————     —————      
          See footnotes     Low performance (lowest 25%) Medium performance (middle 50%) High performance (highest 25%)  
                       
Farm Type     Cell Variable Statistic          
ALL FARM TYPES  (1)   Farm business income (main farm income measure) Average per farm 56,523 -3,977 48,624 130,885  
       Cropping             69,174 -4,338 54,642 169,560  
            Cereals           64,214 V 52,305 147,497  
            General cropping           93,261 -18,630 70,782 248,408  
            Horticulture           47,723 -11,635 35,115 131,061  
                 Specialist fruit           36,232 F 38,419 111,185  
                 Specialist glass           V .D 31,689 V  
                 Specialist hardy nursery stock           62,216 D 29,876 119,095  
                 Other horticulture           43,233 -6,070 38,327 142,594  
       Grazing Livestock           47,914 V 43,635 100,920  
            Dairy           119,711 21,347 118,661 216,984  
            Grazing livestock (lowland)           21,855 -2,603 17,161 55,360  
            Grazing livestock (LFA)           28,341 -6,405 21,402 75,325  
                 Grazing livestock (DA)           12,706 -6,636 21,680 F  
                 Specialist sheep (SDA)           44,230 D 22,334 78,023  
                 Other grazing livestock (SDA)           31,771 -8,690 20,356 74,663  
       Other types & mixed           48,848 -19,838 47,389 116,982  
            Pigs           31,274 F V 112,545  
            Poultry           96,044 -36,765 145,159 128,543  
            Mixed           41,817 -17,271 32,923 115,375  
                   
Footnotes:   
D Data suppressed in accordance with FBS Disclosure protection rules  
F Too few observations to give reliable estimate.  Try using confidence intervals instead  
V Too much variation in observations to give reliable estimate.  Try using confidence intervals instead