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Weather Almanac of Agarkandi Rangpur Bangladesh
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Weather Almanac of Agarkandi


Weather Agarkandi Rangpur Bangladesh
Hourly weather Agarkandi Rangpur Bangladesh
15 Day Weather Forecast Agarkandi Rangpur Bangladesh
Almanac Agarkandi Rangpur Bangladesh
Sunrise Agarkandi Rangpur Bangladesh
Pictures Agarkandi Rangpur Bangladesh
Climatological average and record for Agarkandi Rangpur Bangladesh

 


Month Max. Min. Avg.
September 37°C 24°C 30°C
October 34°C 23°C 28°C

 



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SELECT DISTINCT c.city_code, c.latitude, c.longitude, c.format_name, c.name, c.name_en, c.population, c.elevation, lc.region_name, lc.latitude_30, lc.longitude_30, lc.population_30, lc.latitude_120, lc.longitude_120, lc.population_120, lc.is_proximity_city, c.is_geonames_data, c.parent_city_code, c.is_duplicate_url_detected, c.is_histo_rate_migrate, r.code_region, r.is_geoname_data, r.big_geoname_id, r.name_en, c.pic_json, c.pic_json_validated, c.nb_news FROM geo_db_cn.cn_link_city lc INNER JOIN geo_db_cn.cn_city2 c ON c.city_code=lc.city_code INNER JOIN geo_db.region r ON r.code_country=c.country_code AND r.code_region=c.code_region WHERE lc.ctr = 'bd' AND lc.ctr IN ('ID','AE','AF','AM','AZ','BH','BT','CN','GE','IL','IN','BD','TW','UZ','IQ','IR','JO','JP','KG','KH','KR','KW','KZ','LA','LB','MM','KP','VN','YE','MN','MO','MY','OM','PH','PK','QA','SA','SY','TH','TM','TR','MV','HK','MY','NP','PS','TL','TJ','LK','SG') AND lc.region = 'rangpur' AND lc.city = 'agarkandi' [Execution Time: 0 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='144563' [Execution Time: 0 Seconds]
SELECT city_code, name_en FROM geo_db_cn.cn_city2 WHERE city_code IN (146450,166305,153682,147681,163178,161486,167764,144617,166310,144607,145421,168639,152913,156767,159782,157397,156332,148773,168635,167596,167595) [Execution Time: 0 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='144563' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (144563, 146450, 166305, 153682, 147681, 163178, 161486, 167764, 144617, 166310, 144607, 145421, 168639, 152913, 156767, 159782, 157397, 156332, 148773, 168635, 167596, 167595) [Execution Time: 0 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='144563' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (144563, 146450, 166305, 153682, 147681, 163178, 161486, 167764, 144617, 166310, 144607, 145421, 168639, 152913, 156767, 159782, 157397, 156332, 148773, 168635, 167596, 167595) [Execution Time: 0 Seconds]
SELECT month(X.date) month, concat(round(max(X.max)), '°C') avg_max, concat(round(min(X.min)), '°C') avg_min, concat(round((avg(X.max)+avg(X.min))/2), '°C') avg FROM ( SELECT date date, max max, min min FROM meteo_cn.cn_meteo_histo WHERE latitude=24.374 and longitude=88.60114 UNION SELECT date date, max max, min min FROM meteo_cn.cn_meteo_histo_old WHERE latitude=24.374 and longitude=88.60114 ) X GROUP BY month(X.date) ORDER BY month(X.date) ASC [Execution Time: 0.001 Seconds]
SELECT `nameday`.`country_code`, `nameday`.`month`, `nameday`.`day`, `nameday`.`name` FROM `meteo`.`nameday` WHERE country_code='EN' AND month=10 AND day=19 [Execution Time: 0 Seconds]
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