regional_harvest_weather

Current published release

Current data

Latest passing release for each Table

Updated 9 Sept 2026, 13:53

Rows: 7,596; across released Tables
Tables: 1; released
Columns: 47; regional_harvest_weather
Version: —; regional_harvest_weather

Data preview

regional_harvest_weather

Preview rows for regional_harvest_weather
country	region	region_name	nuts_level	crop_code	crop_name	harvest_year	predictor_cutoff	weather_latitude	weather_longitude	outcome_area_ha	outcome_production_t	outcome_yield_t_ha	crop_observation_flags	weather_days	complete_weather_days	jan_may_mean_temp_c	jan_may_max_temp_c	jan_may_min_temp_c	jan_may_rainfall_mm
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2000	2000-06-01	47.543740	16.522970	42000.000000	147840.000000	3.520000	—	152	152	5.830263	27.810000	-14.660000	221.030000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2001	2001-06-01	47.543740	16.522970	40600.000000	175280.000000	4.317241	—	151	151	5.631921	27.670000	-10.550000	201.810000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2002	2002-06-01	47.543740	16.522970	40600.000000	167820.000000	4.133498	—	151	151	6.078808	27.760000	-16.870000	182.600000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2003	2003-06-01	47.543740	16.522970	39900.000000	144460.000000	3.620551	—	151	151	4.097550	29.270000	-17.600000	157.300000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2004	2004-06-01	47.543740	16.522970	41500.000000	214740.000000	5.174458	—	152	152	3.384539	24.350000	-15.970000	297.510000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2005	2005-06-01	47.543740	16.522970	43600.000000	176770.000000	4.054358	—	151	151	3.716755	30.310000	-17.590000	271.340000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2006	2006-06-01	47.543740	16.522970	41100.000000	175670.000000	4.274209	—	151	151	2.575033	23.750000	-22.010000	316.240000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2007	2007-06-01	47.543740	16.522970	43900.000000	185220.000000	4.219134	—	151	151	7.330265	27.790000	-9.450000	297.260000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2008	2008-06-01	47.543740	16.522970	42900.000000	212860.000000	4.961772	—	152	152	5.882566	32.180000	-11.420000	186.520000
AT	AT11	Burgenland	2	C1110	Common wheat and spelt	2009	2009-06-01	47.543740	16.522970	45800.000000	181000.000000	3.951965	—	151	151	4.680861	27.130000	-13.130000	323.230000

Columns

Schema, units, meaning, and verified release profile

47 columns

Verified column analytics for regional_harvest_weather
Column	Type	Unit	Missing	Distinct	Distribution	Summary
country	string	—	0.0%0 values	5<0.1%	FR34% PL23% DE19% Top: FR	—
region	string	—	0.0%0 values	690.9%	FR102% FRB02% FRC12% Other (57) Top: FR10 · 6,180 more values	—
region_name	string	—	0.0%0 values	690.9%	Alsace2% Aquitaine2% Auvergne2% Other (57) Top: Alsace · 6,180 more values	—
nuts_level	integer	—	0.0%0 values	2<0.1%	12 All-row histogram	Median 2P25 2 · P75 2
crop_code	string	—	0.0%0 values	5<0.1%	C130022% C111022% I111021% Top: C1300	—
crop_name	string	—	0.0%0 values	5<0.1%	Barley22% Common wheat and spelt22% Rapeseed21% Top: Barley	—
harvest_year	integer	—	0.0%0 values	250.3%	20002024 All-row histogram	Median 2013P25 2007 · P75 2019
predictor_cutoff	date	—	0.0%0 values	250.3%	2017-06-014% 2024-06-014% 2014-06-014% Other (13) Top: 2017-06-01 · 3,643 more values	—
weather_latitude	decimal	—	0.0%0 values	690.9%	43.7689602% 43.9384302% 43.9556102% Other (57) Top: 43.768960 · 6,180 more values	Median 49.384370P25 47.484750 · P75 51.052340
weather_longitude	decimal	—	0.0%0 values	690.9%	-2.8375602% -0.8109502% -0.5218902% Other (57) Top: -2.837560 · 6,180 more values	Median 11.700690P25 5.339810 · P75 16.377860
outcome_area_ha	decimal	—	0.0%0 values	4,51759.5%	100.0000001% 200.0000001% 400.0000001% Other (4,505) Top: 100.000000 · 7,198 more values	Median 40490.000000P25 7900.000000 · P75 106550.000000
outcome_production_t	decimal	—	0.0%0 values	6,72888.6%	400.0000000% 600.0000000% 50.0000000% Other (6,716) Top: 400.000000 · 7,503 more values	Median 238430.000000P25 53980.000000 · P75 621500.000000
outcome_yield_t_ha	decimal	—	0.0%0 values	7,27395.7%	3.0000000% 2.0000000% 5.0000000% Other (7,261) Top: 3.000000 · 7,468 more values	Median 5.905085P25 3.695838 · P75 9.006585
crop_observation_flags	string	—	0.0%0 values	3<0.1%	""100% d0% b0% Top: ""	—
weather_days	integer	—	0.0%0 values	2<0.1%	151152 All-row histogram	Median 151P25 151 · P75 152
complete_weather_days	integer	—	0.0%0 values	2<0.1%	151152 All-row histogram	Median 151P25 151 · P75 152
jan_may_mean_temp_c	decimal	—	0.0%0 values	1,68422.2%	7.8598030% 7.8854300% 2.3962250% Other (1,672) Top: 7.859803 · 7,503 more values	Median 5.468355P25 4.089276 · P75 6.965695
jan_may_max_temp_c	decimal	—	0.0%0 values	80610.6%	23.6600000% 24.2200000% 25.1800000% Other (794) Top: 23.660000 · 7,229 more values	Median 25.510000P25 23.830000 · P75 27.160000
jan_may_min_temp_c	decimal	—	0.0%0 values	1,17115.4%	-4.8200000% -9.8900000% -7.3500000% Other (1,159) Top: -4.820000 · 7,329 more values	Median -11.630000P25 -16.110000 · P75 -7.520000
jan_may_rainfall_mm	decimal	—	0.0%0 values	1,64021.6%	226.3300000% 289.1300000% 147.7400000% Other (1,628) Top: 226.330000 · 7,467 more values	Median 268.510000P25 226.660000 · P75 326.260000

Show 27 more columns

Verified column analytics for regional_harvest_weather
jan_may_humidity_pct	decimal	—	0.0%0 values	1,68522.2%	82.6647680% 85.1779470% 85.8923180% Other (1,673) Top: 82.664768 · 7,511 more values	Median 83.889801P25 81.555461 · P75 85.667086
jan_may_solar_mj_m2	decimal	—	0.0%0 values	1,52720.1%	1694.4200000% 1427.3600000% 1516.5400000% Other (1,515) Top: 1694.420000 · 7,427 more values	Median 1634.160000P25 1523.930000 · P75 1758.420000
jan_may_frost_days	integer	—	0.0%0 values	1331.8%	0144 All-row histogram	Median 65P25 44 · P75 79
jan_may_hot_days	integer	—	0.0%0 values	7<0.1%	06 All-row histogram	Median 0P25 0 · P75 0
jan_may_dry_days	integer	—	0.0%0 values	700.9%	51135 All-row histogram	Median 93P25 85 · P75 100
jan_temp_c	decimal	—	0.0%0 values	1,66221.9%	3.4361290% -1.0219350% -0.6561290% Other (1,650) Top: 3.436129 · 7,472 more values	Median -0.190968P25 -2.842258 · P75 2.290000
jan_rainfall_mm	decimal	—	0.0%0 values	1,54220.3%	42.6900000% 43.5700000% 33.4300000% Other (1,530) Top: 42.690000 · 7,454 more values	Median 52.980000P25 39.670000 · P75 72.440000
jan_solar_mj_m2	decimal	—	0.0%0 values	1,45219.1%	115.0500000% 101.1500000% 90.2300000% Other (1,440) Top: 115.050000 · 7,382 more values	Median 100.260000P25 81.530000 · P75 124.460000
feb_temp_c	decimal	—	0.0%0 values	1,66321.9%	-4.8210340% -3.9921430% 0.4550000% Other (1,651) Top: -4.821034 · 7,479 more values	Median 1.406071P25 -1.662143 · P75 3.629655
feb_rainfall_mm	decimal	—	0.0%0 values	1,52720.1%	10.8700000% 45.1300000% 45.3300000% Other (1,515) Top: 10.870000 · 7,430 more values	Median 45.130000P25 29.050000 · P75 62.910000
feb_solar_mj_m2	decimal	—	0.0%0 values	1,47719.4%	155.2400000% 156.5700000% 114.8000000% Other (1,465) Top: 155.240000 · 7,405 more values	Median 170.760000P25 145.190000 · P75 203.150000
mar_temp_c	decimal	—	0.0%0 values	1,65221.7%	-0.4048390% 2.2793550% 3.4477420% Other (1,640) Top: -0.404839 · 7,476 more values	Median 4.380323P25 2.704194 · P75 6.312258
mar_rainfall_mm	decimal	—	0.0%0 values	1,55720.5%	21.7300000% 39.9900000% 10.5900000% Other (1,545) Top: 21.730000 · 7,458 more values	Median 46.660000P25 30.880000 · P75 67.390000
mar_solar_mj_m2	decimal	—	0.0%0 values	1,48319.5%	317.2700000% 298.4500000% 208.4900000% Other (1,471) Top: 317.270000 · 7,415 more values	Median 322.730000P25 285.330000 · P75 366.680000
apr_temp_c	decimal	—	0.0%0 values	1,63021.5%	9.0726670% 10.3363330% 6.4186670% Other (1,618) Top: 9.072667 · 7,470 more values	Median 8.692333P25 7.413000 · P75 10.276333
apr_rainfall_mm	decimal	—	0.0%0 values	1,54220.3%	23.4000000% 42.6200000% 25.8500000% Other (1,530) Top: 23.400000 · 7,453 more values	Median 45.300000P25 30.420000 · P75 64.290000
apr_solar_mj_m2	decimal	—	0.0%0 values	1,48519.5%	376.1500000% 373.8000000% 422.2400000% Other (1,473) Top: 376.150000 · 7,422 more values	Median 459.950000P25 419.270000 · P75 508.930000
may_temp_c	decimal	—	0.0%0 values	1,62921.4%	11.5858060% 11.1467740% 11.9829030% Other (1,617) Top: 11.585806 · 7,474 more values	Median 13.431935P25 12.211290 · P75 14.630968
may_rainfall_mm	decimal	—	0.0%0 values	1,57920.8%	61.8100000% 64.0300000% 80.3000000% Other (1,567) Top: 61.810000 · 7,451 more values	Median 69.610000P25 49.100000 · P75 96.570000
may_solar_mj_m2	decimal	—	0.0%0 values	1,49919.7%	513.3400000% 535.0600000% 593.6500000% Other (1,487) Top: 513.340000 · 7,422 more values	Median 582.650000P25 540.360000 · P75 624.280000
fao_food_jan_apr_index	decimal	—	0.0%0 values	250.3%	96.7750004% 118.2750004% 93.3500004% Other (13) Top: 96.775000 · 3,643 more values	Median 97.500000P25 80.875000 · P75 119.600000
fao_food_apr_index	decimal	—	0.0%0 values	250.3%	95.0000004% 119.2000004% 93.5000004% Other (13) Top: 95.000000 · 3,643 more values	Median 95.000000P25 83.900000 · P75 122.100000
fao_cereals_jan_apr_index	decimal	—	0.0%0 values	250.3%	88.3750004% 114.0500004% 98.6500004% Other (13) Top: 88.375000 · 3,643 more values	Median 99.475000P25 85.900000 · P75 125.300000
fao_cereals_apr_index	decimal	—	0.0%0 values	250.3%	86.9000004% 111.6000004% 94.6000004% Other (13) Top: 86.900000 · 3,643 more values	Median 98.200000P25 85.100000 · P75 126.200000
fao_oils_jan_apr_index	decimal	—	0.0%0 values	250.3%	104.8325004% 126.2250004% 79.8900004% Other (13) Top: 104.832500 · 3,643 more values	Median 95.807500P25 79.890000 · P75 126.225000
fao_oils_apr_index	decimal	—	0.0%0 values	250.3%	97.5800004% 130.9000004% 79.1100004% Other (13) Top: 97.580000 · 3,643 more values	Median 97.580000P25 79.110000 · P75 130.000000
fao_months	integer	—	0.0%0 values	1<0.1%	44 All-row histogram	Median 4P25 4 · P75 4

Release status

Facts from the current passing release

Release: Passing
Rows: 7,596
Columns: 47
Published: 9 Sept 2026, 13:53
Analytics: Verified across all rows

Use dataset

Query this dataset with the API, connect an AI tool with MCP, or download a Parquet file.

cURL · regional_harvest_weather

regional_harvest_weather

# Current release — the complete Parquet file
curl -sS -o regional-harvest-weather.parquet \
  -H "x-api-key: $MOSTLYRIGHT_API_KEY" \
  "https://mostlyright.md/api/v2/public/tables/994c0256-368f-4067-a953-2d9d5f194d28/current"

# Bounded JSON query (schema at https://mostlyright.md/api/v2/public/tables/994c0256-368f-4067-a953-2d9d5f194d28/schema)
curl -sS "https://mostlyright.md/api/v2/public/tables/994c0256-368f-4067-a953-2d9d5f194d28/query" \
  -H "x-api-key: $MOSTLYRIGHT_API_KEY" \
  -H "content-type: application/json" \
  --data '{"columns": ["country","region"], "limit": 100}'

MOSTLYRIGHT_API_KEY requires an mr_use_ API key from a workspace that has added this dataset. An mr_live_ key will not work here. Reference: OpenAPI · guide.

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European harvests and weather, 2000–2024

regional_harvest_weather

Release status