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Noticias Mexico Pampanga Filipinas
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Weather Avenue Weather Avenue > Asia Tiempo Asia > Feed de noticias Feed de noticias > Filipinas Noticias Filipinas > Pampanga Noticias Pampanga > City Noticias Mexico
Tiempo Mexico Pampanga Filipinas
Tiempo por horas Mexico Pampanga Filipinas
Tiempo 15 días Mexico Pampanga Filipinas
Históricos Mexico Pampanga Filipinas
Salida del sol Mexico Pampanga Filipinas
Fotos Mexico Pampanga Filipinas
Noticias Mexico Pampanga Filipinas

Noticias Mexico Pampanga Filipinas

Philippines, San Fernando city, people along  the Calvary path awaiting  the cross bearing processions © 10416863@N00 Flickr

Noticias Mexico Pampanga Filipinas 29 de agosto de 2024



Pronóstico del Tiempo para México, Pampanga, Filipinas: ¡Un Fin de Semana Lluvioso!

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SELECT DISTINCT c.city_code, c.latitude, c.longitude, c.format_name, c.name, c.name_es, 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_es, 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 = 'ph' 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 = 'pampanga' AND lc.city = 'mexico' [Execution Time: 1.824 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='1760841' [Execution Time: 0.001 Seconds]
SELECT city_code, name_es FROM geo_db_cn.cn_city2 WHERE city_code IN (1760122,1745344,1768406,1760524,1767116,1754998,1760114,1754452,1775394,1755055,1768223,1768236) [Execution Time: 0.016 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='1760841' [Execution Time: 0.001 Seconds]
SELECT `region`.`code_country`, `region`.`code_region`, `region`.`region`, `region`.`sgv`, `region`.`svg_x`, `region`.`svg_y`, `region`.`svg_width`, `region`.`svg_height`, `region`.`name_en`, `region`.`name_fr`, `region`.`name_de`, `region`.`name_it`, `region`.`name_pl`, `region`.`name_es`, `region`.`name_pt`, `region`.`name_ru`, `region`.`name_hi`, `region`.`name_cn`, `region`.`name_jp`, `region`.`name_ar`, `region`.`big_city_code`, `region`.`big_geoname_id`, `region`.`is_geoname_data` FROM `geo_db`.`region` WHERE code_country='PH' AND (REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(lower(region), 'ß', 's'), '(( ', ' '), ' ))', ' '), '((', ' '), '))', ' '), ' - ', ' '), '- ', ' '), '-\'', ' '), '\'-', ' '), ' \'', ' '), '\' ', ' '), 'sss', 's'), 'ss', 's'), ',', ''), '. ', ' '), '-', ' '), '¡', 'i'), 'ä', 'a'), 'é', 'e'), '\'', ' '), ' ', '-') LIKE 'pampanga' OR REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(lower(region), 'ß', 's'), '(( ', ' '), ' ))', ' '), '((', ' '), '))', ' '), ' - ', ' '), '- ', ' '), '-\'', ' '), '\'-', ' '), ' \'', ' '), '\' ', ' '), 'sss', 's'), 'ss', 's'), ',', ''), '. ', ' '), '-', ' '), '¡', 'i'), 'ä', 'a'), 'é', 'e'), '\'', ' '), ' ', '-') LIKE 'pampanga_') [Execution Time: 0.001 Seconds]
SELECT `cn_news`.`code_news`, `cn_news`.`code_ville`, `cn_news`.`date_news`, `cn_news`.`nb_read`, `cn_news`.`texte_en`, `cn_news`.`texte_fr`, `cn_news`.`texte_de`, `cn_news`.`texte_it`, `cn_news`.`texte_es`, `cn_news`.`texte_pt`, `cn_news`.`texte_pl`, `cn_news`.`texte_ru`, `cn_news`.`texte_hi`, `cn_news`.`texte_cn`, `cn_news`.`texte_jp` FROM `meteo_cn`.`cn_news` WHERE code_ville in (1760841, 1760122, 1745344, 1768406, 1760524, 1767116, 1754998, 1760114, 1754452, 1775394, 1755055, 1768223, 1768236) ORDER BY `date_news` DESC LIMIT 0, 10 [Execution Time: 0.007 Seconds]
SELECT `cn_city2`.`city_code`, `cn_city2`.`country_code`, `cn_city2`.`format_name`, `cn_city2`.`name`, `cn_city2`.`code_region`, `cn_city2`.`population`, `cn_city2`.`latitude`, `cn_city2`.`longitude`, `cn_city2`.`elevation`, `cn_city2`.`capital`, `cn_city2`.`name_en`, `cn_city2`.`name_fr`, `cn_city2`.`name_de`, `cn_city2`.`name_it`, `cn_city2`.`name_pl`, `cn_city2`.`name_es`, `cn_city2`.`name_pt`, `cn_city2`.`name_ru`, `cn_city2`.`name_hi`, `cn_city2`.`name_cn`, `cn_city2`.`name_jp`, `cn_city2`.`name_ar`, `cn_city2`.`postal_code`, `cn_city2`.`link`, `cn_city2`.`geonames_nb_cities_found`, `cn_city2`.`is_geonames_data`, `cn_city2`.`geonames_id`, `cn_city2`.`geonames_date`, `cn_city2`.`latitude_orig`, `cn_city2`.`longitude_orig`, `cn_city2`.`parent_city_code`, `cn_city2`.`is_city_created_manually`, `cn_city2`.`is_duplicate_url_detected`, `cn_city2`.`is_histo_rate_migrate`, `cn_city2`.`pic_json`, `cn_city2`.`pic_json_date`, `cn_city2`.`nb_news`, `cn_city2`.`pic_json_validated`, `cn_city2`.`pic_json_date_validated` FROM `geo_db_cn`.`cn_city2` WHERE city_code='1760841' [Execution Time: 0.001 Seconds]
SELECT `region`.`code_country`, `region`.`code_region`, `region`.`region`, `region`.`sgv`, `region`.`svg_x`, `region`.`svg_y`, `region`.`svg_width`, `region`.`svg_height`, `region`.`name_en`, `region`.`name_fr`, `region`.`name_de`, `region`.`name_it`, `region`.`name_pl`, `region`.`name_es`, `region`.`name_pt`, `region`.`name_ru`, `region`.`name_hi`, `region`.`name_cn`, `region`.`name_jp`, `region`.`name_ar`, `region`.`big_city_code`, `region`.`big_geoname_id`, `region`.`is_geoname_data` FROM `geo_db`.`region` WHERE code_country='PH' AND code_region='50' [Execution Time: 0 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (1760841, 1760122, 1745344, 1768406, 1760524, 1767116, 1754998, 1760114, 1754452, 1775394, 1755055, 1768223, 1768236) [Execution Time: 0 Seconds]
SELECT `nameday`.`country_code`, `nameday`.`month`, `nameday`.`day`, `nameday`.`name` FROM `meteo`.`nameday` WHERE country_code='ES' AND month=10 AND day=19 [Execution Time: 0 Seconds]
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