🏆

高薪企业排行榜

基于职位薪资 + 用户分享综合计算，真实反映企业薪酬水平

🌏 全国 共 148 家上榜企业 薪资来源：职位发布（橙色）+ 用户匿名分享（绿色），加权平均计算
职位发布 用户分享
81
81
信阳国控信锐医药有限公司
🏭 贸易/批发/零售业📍 浉河区 📊 3条薪资数据 💼 2个在招职位
职位 3 条 · ¥0K
¥0K
平均月薪
82
82
河南嘉隆机电设备工程有限公司
🏭 贸易/批发/零售业📍 平桥区 📊 2条薪资数据 💼 3个在招职位
职位 2 条 · ¥0K
¥0K
平均月薪
83
83
信阳市青果文化传媒有限公司
🏭 文化/广告/体育/娱乐业📍 羊山区 📊 3条薪资数据 💼 3个在招职位
职位 3 条 · ¥0K
¥0K
平均月薪
84
84
信阳市津乾机械设备制造有限公司
🏭 制造业/加工📍 浉河区 📊 3条薪资数据 💼 4个在招职位
职位 3 条 · ¥0K
¥0K
平均月薪
85
85
信阳市新地标文化旅游有限公司
🏭 文化/广告/体育/娱乐业📍 羊山区 📊 1条薪资数据 💼 1个在招职位
职位 1 条 · ¥0K
¥0K
平均月薪
86
86
信阳豫通汽车销售服务有限公司
🏭 贸易/批发/零售业📍 高新区 📊 2条薪资数据 💼 3个在招职位
职位 2 条 · ¥0K
¥0K
平均月薪
87
87
郑州新东方学校
🏭 教育/培训📍 郑州 📊 4条薪资数据
职位 4 条 · ¥0K
¥0K
平均月薪
88
88
河南信璀璨科技数字科技有限责任公司
🏭 计算机/信息服务业📍 羊山区 📊 1条薪资数据 💼 1个在招职位
职位 1 条 · ¥0K
¥0K
平均月薪
89
89
长园智能装备（河南）有限公司
🏭 制造业/加工📍 新县 📊 1条薪资数据 💼 4个在招职位
职位 1 条 · ¥0K
¥0K
平均月薪
90
90
信阳果优信息科技有限公司
🏭 计算机/信息服务业📍 羊山区 📊 3条薪资数据 💼 3个在招职位
职位 3 条 · ¥0K
¥0K
平均月薪
91
91
河南铠甲节能科技有限公司
🏭 制造业/加工📍 上天梯 📊 4条薪资数据 💼 4个在招职位
职位 4 条 · ¥0K
¥0K
平均月薪
92
92
信阳市浉河区茶山驿站文旅有限责任公司
🏭 住宿和餐饮业📍 浉河区 📊 1条薪资数据 💼 1个在招职位
职位 1 条 · ¥0K
¥0K
平均月薪
93
93
信阳广银物业服务有限公司
🏭 房产/物业/商业中心📍 羊山区 📊 3条薪资数据 💼 1个在招职位
职位 3 条 · ¥0K
¥0K
平均月薪
94
94
信阳聚创实业发展有限公司
🏭 租赁和商务服务业📍 羊山区 📊 1条薪资数据 💼 1个在招职位
职位 1 条 · ¥0K
¥0K
平均月薪
95
95
信阳市中小企业服务中心
🏭 公共管理/社会组织📍 羊山区 📊 15条薪资数据 💼 2个在招职位
职位 15 条 · ¥0K
¥0K
平均月薪
96
96
信阳市荣业物业管理有限公司
🏭 房产/物业/商业中心📍 羊山区 📊 2条薪资数据 💼 2个在招职位
职位 2 条 · ¥0K
¥0K
平均月薪
97
97
河南天地和金属制品有限公司
🏭 制造业/加工📍 平桥区 📊 15条薪资数据 💼 15个在招职位
职位 15 条 · ¥0K
¥0K
平均月薪
98
98
信阳舜宇光学有限公司
🏭 制造业/加工📍 平桥区 📊 8条薪资数据 💼 3个在招职位
职位 8 条 · ¥0K
¥0K
平均月薪
99
99
信阳永豪轩家具有限公司
🏭 制造业/加工📍 羊山区 📊 6条薪资数据 💼 1个在招职位
职位 6 条 · ¥0K
¥0K
平均月薪
100
100
信阳市德隆超硬材料有限公司
🏭 制造业/加工📍 高新区 📊 1条薪资数据 💼 1个在招职位
职位 1 条 · ¥0K
¥0K
平均月薪
基本 文件 流程 错误 SQL 调试
  1. 请求信息 : 2026-04-29 20:08:08 HTTP/2.0 GET : https://youjupin.cn/enterprise/ranking?page=5
  2. 运行时间 : 0.203637s [ 吞吐率：4.91req/s ] 内存消耗：645.46kb 文件加载：129
  3. 缓存信息 : 0 reads,0 writes
  4. 会话信息 : SESSION_ID=26f9012c2cae66fc7b932a8e3eb88ff0
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  1. CONNECT:[ UseTime:0.000526s ] mysql:host=127.0.0.1;port=3306;dbname=zhaopin;charset=utf8mb4
  2. SELECT COUNT(*) AS cnt FROM (SELECT m.enterprise_id, COALESCE(e.name, '-') AS enterprise_name, e.industry, e.city, e.scale, e.logo, e.score_overall, e.review_count, e.position_count, COALESCE(m.pos_cnt, 0) AS pos_cnt, COALESCE(m.ss_cnt, 0) AS ss_cnt, (COALESCE(m.pos_cnt, 0) + COALESCE(m.ss_cnt, 0)) AS total_cnt, ROUND(m.weighted_avg) AS avg_salary FROM ( SELECT enterprise_id, pos_cnt, ss_cnt, (pos_cnt * pos_avg + ss_cnt * ss_avg) / (pos_cnt + ss_cnt) AS weighted_avg FROM ( SELECT COALESCE(a.enterprise_id, b.enterprise_id) AS enterprise_id, COALESCE(a.pos_cnt, 0) AS pos_cnt, COALESCE(b.ss_cnt, 0) AS ss_cnt, a.pos_avg, b.ss_avg FROM (SELECT p.enterprise_id, COUNT(*) AS pos_cnt, ROUND(AVG((IFNULL(p.min_salary,0)+IFNULL(p.max_salary,0))/2)) AS pos_avg FROM position p INNER JOIN enterprise e ON e.id = p.enterprise_id AND e.status = 1 WHERE p.status = 1 AND (p.min_salary > 0 OR p.max_salary > 0) GROUP BY p.enterprise_id) a LEFT JOIN (SELECT ss.enterprise_id, COUNT(*) AS ss_cnt, ROUND(AVG(ss.month_salary)) AS ss_avg FROM salary_share ss INNER JOIN enterprise e ON e.id = ss.enterprise_id AND e.status = 1 WHERE ss.status = 1 AND ss.month_salary > 0 GROUP BY ss.enterprise_id) b ON a.enterprise_id = b.enterprise_id UNION SELECT COALESCE(a.enterprise_id, b.enterprise_id) AS enterprise_id, COALESCE(a.pos_cnt, 0), COALESCE(b.ss_cnt, 0), a.pos_avg, b.ss_avg FROM (SELECT p.enterprise_id, COUNT(*) AS pos_cnt, ROUND(AVG((IFNULL(p.min_salary,0)+IFNULL(p.max_salary,0))/2)) AS pos_avg FROM position p INNER JOIN enterprise e ON e.id = p.enterprise_id AND e.status = 1 WHERE p.status = 1 AND (p.min_salary > 0 OR p.max_salary > 0) GROUP BY p.enterprise_id) a RIGHT JOIN (SELECT ss.enterprise_id, COUNT(*) AS ss_cnt, ROUND(AVG(ss.month_salary)) AS ss_avg FROM salary_share ss INNER JOIN enterprise e ON e.id = ss.enterprise_id AND e.status = 1 WHERE ss.status = 1 AND ss.month_salary > 0 GROUP BY ss.enterprise_id) b ON a.enterprise_id = b.enterprise_id ) AS u WHERE (COALESCE(pos_cnt,0) + COALESCE(ss_cnt,0)) >= 1 ) AS m INNER JOIN enterprise e ON e.id = m.enterprise_id ORDER BY m.weighted_avg DESC) AS t [ RunTime:0.057783s ]
  3. SELECT * FROM (SELECT m.enterprise_id, COALESCE(e.name, '-') AS enterprise_name, e.industry, e.city, e.scale, e.logo, e.score_overall, e.review_count, e.position_count, COALESCE(m.pos_cnt, 0) AS pos_cnt, COALESCE(m.ss_cnt, 0) AS ss_cnt, (COALESCE(m.pos_cnt, 0) + COALESCE(m.ss_cnt, 0)) AS total_cnt, ROUND(m.weighted_avg) AS avg_salary FROM ( SELECT enterprise_id, pos_cnt, ss_cnt, (pos_cnt * pos_avg + ss_cnt * ss_avg) / (pos_cnt + ss_cnt) AS weighted_avg FROM ( SELECT COALESCE(a.enterprise_id, b.enterprise_id) AS enterprise_id, COALESCE(a.pos_cnt, 0) AS pos_cnt, COALESCE(b.ss_cnt, 0) AS ss_cnt, a.pos_avg, b.ss_avg FROM (SELECT p.enterprise_id, COUNT(*) AS pos_cnt, ROUND(AVG((IFNULL(p.min_salary,0)+IFNULL(p.max_salary,0))/2)) AS pos_avg FROM position p INNER JOIN enterprise e ON e.id = p.enterprise_id AND e.status = 1 WHERE p.status = 1 AND (p.min_salary > 0 OR p.max_salary > 0) GROUP BY p.enterprise_id) a LEFT JOIN (SELECT ss.enterprise_id, COUNT(*) AS ss_cnt, ROUND(AVG(ss.month_salary)) AS ss_avg FROM salary_share ss INNER JOIN enterprise e ON e.id = ss.enterprise_id AND e.status = 1 WHERE ss.status = 1 AND ss.month_salary > 0 GROUP BY ss.enterprise_id) b ON a.enterprise_id = b.enterprise_id UNION SELECT COALESCE(a.enterprise_id, b.enterprise_id) AS enterprise_id, COALESCE(a.pos_cnt, 0), COALESCE(b.ss_cnt, 0), a.pos_avg, b.ss_avg FROM (SELECT p.enterprise_id, COUNT(*) AS pos_cnt, ROUND(AVG((IFNULL(p.min_salary,0)+IFNULL(p.max_salary,0))/2)) AS pos_avg FROM position p INNER JOIN enterprise e ON e.id = p.enterprise_id AND e.status = 1 WHERE p.status = 1 AND (p.min_salary > 0 OR p.max_salary > 0) GROUP BY p.enterprise_id) a RIGHT JOIN (SELECT ss.enterprise_id, COUNT(*) AS ss_cnt, ROUND(AVG(ss.month_salary)) AS ss_avg FROM salary_share ss INNER JOIN enterprise e ON e.id = ss.enterprise_id AND e.status = 1 WHERE ss.status = 1 AND ss.month_salary > 0 GROUP BY ss.enterprise_id) b ON a.enterprise_id = b.enterprise_id ) AS u WHERE (COALESCE(pos_cnt,0) + COALESCE(ss_cnt,0)) >= 1 ) AS m INNER JOIN enterprise e ON e.id = m.enterprise_id ORDER BY m.weighted_avg DESC) AS t LIMIT 20 OFFSET 80 [ RunTime:0.042636s ]
  4. SELECT e.city, COUNT(DISTINCT e.id) AS cnt, ROUND(AVG(t.wa)) AS avg_k FROM ( SELECT enterprise_id, (pos_cnt * pos_avg + ss_cnt * ss_avg) / (pos_cnt + ss_cnt) AS wa FROM ( SELECT COALESCE(a.enterprise_id, b.enterprise_id) AS enterprise_id, COALESCE(a.pos_cnt, 0) AS pos_cnt, COALESCE(b.ss_cnt, 0) AS ss_cnt, a.pos_avg, b.ss_avg FROM (SELECT p.enterprise_id, COUNT(*) AS pos_cnt, ROUND(AVG((IFNULL(p.min_salary,0)+IFNULL(p.max_salary,0))/2)) AS pos_avg FROM position p INNER JOIN enterprise e ON e.id = p.enterprise_id AND e.status = 1 WHERE p.status = 1 AND (p.min_salary > 0 OR p.max_salary > 0) GROUP BY p.enterprise_id) a LEFT JOIN (SELECT ss.enterprise_id, COUNT(*) AS ss_cnt, ROUND(AVG(ss.month_salary)) AS ss_avg FROM salary_share ss INNER JOIN enterprise e ON e.id = ss.enterprise_id AND e.status = 1 WHERE ss.status = 1 AND ss.month_salary > 0 GROUP BY ss.enterprise_id) b ON a.enterprise_id = b.enterprise_id UNION SELECT COALESCE(a.enterprise_id, b.enterprise_id), COALESCE(a.pos_cnt, 0), COALESCE(b.ss_cnt, 0), a.pos_avg, b.ss_avg FROM (SELECT p.enterprise_id, COUNT(*) AS pos_cnt, ROUND(AVG((IFNULL(p.min_salary,0)+IFNULL(p.max_salary,0))/2)) AS pos_avg FROM position p INNER JOIN enterprise e ON e.id = p.enterprise_id AND e.status = 1 WHERE p.status = 1 AND (p.min_salary > 0 OR p.max_salary > 0) GROUP BY p.enterprise_id) a RIGHT JOIN (SELECT ss.enterprise_id, COUNT(*) AS ss_cnt, ROUND(AVG(ss.month_salary)) AS ss_avg FROM salary_share ss INNER JOIN enterprise e ON e.id = ss.enterprise_id AND e.status = 1 WHERE ss.status = 1 AND ss.month_salary > 0 GROUP BY ss.enterprise_id) b ON a.enterprise_id = b.enterprise_id ) AS u WHERE (COALESCE(pos_cnt,0)+COALESCE(ss_cnt,0))>=1 ) AS t INNER JOIN enterprise e ON e.id = t.enterprise_id WHERE e.city <> '' GROUP BY e.city HAVING cnt >= 2 ORDER BY avg_k DESC LIMIT 10 [ RunTime:0.042399s ]
  5. SELECT e.industry, COUNT(DISTINCT e.id) AS cnt, ROUND(AVG(t.wa)/1000, 1) AS avg_k FROM ( SELECT enterprise_id, (pos_cnt*pos_avg+ss_cnt*ss_avg)/(pos_cnt+ss_cnt) AS wa FROM ( SELECT COALESCE(a.enterprise_id,b.enterprise_id) AS enterprise_id, COALESCE(a.pos_cnt,0) AS pos_cnt, COALESCE(b.ss_cnt,0) AS ss_cnt, a.pos_avg, b.ss_avg FROM (SELECT p.enterprise_id, COUNT(*) AS pos_cnt, ROUND(AVG((IFNULL(p.min_salary,0)+IFNULL(p.max_salary,0))/2)) AS pos_avg FROM position p INNER JOIN enterprise e ON e.id = p.enterprise_id AND e.status = 1 WHERE p.status = 1 AND (p.min_salary > 0 OR p.max_salary > 0) GROUP BY p.enterprise_id) a LEFT JOIN (SELECT ss.enterprise_id, COUNT(*) AS ss_cnt, ROUND(AVG(ss.month_salary)) AS ss_avg FROM salary_share ss INNER JOIN enterprise e ON e.id = ss.enterprise_id AND e.status = 1 WHERE ss.status = 1 AND ss.month_salary > 0 GROUP BY ss.enterprise_id) b ON a.enterprise_id = b.enterprise_id UNION SELECT COALESCE(a.enterprise_id,b.enterprise_id) AS enterprise_id, COALESCE(a.pos_cnt,0) AS pos_cnt, COALESCE(b.ss_cnt,0) AS ss_cnt, a.pos_avg, b.ss_avg FROM (SELECT p.enterprise_id, COUNT(*) AS pos_cnt, ROUND(AVG((IFNULL(p.min_salary,0)+IFNULL(p.max_salary,0))/2)) AS pos_avg FROM position p INNER JOIN enterprise e ON e.id = p.enterprise_id AND e.status = 1 WHERE p.status = 1 AND (p.min_salary > 0 OR p.max_salary > 0) GROUP BY p.enterprise_id) a RIGHT JOIN (SELECT ss.enterprise_id, COUNT(*) AS ss_cnt, ROUND(AVG(ss.month_salary)) AS ss_avg FROM salary_share ss INNER JOIN enterprise e ON e.id = ss.enterprise_id AND e.status = 1 WHERE ss.status = 1 AND ss.month_salary > 0 GROUP BY ss.enterprise_id) b ON a.enterprise_id = b.enterprise_id ) AS u WHERE (COALESCE(pos_cnt,0)+COALESCE(ss_cnt,0))>=1 ) AS t INNER JOIN enterprise e ON e.id = t.enterprise_id WHERE e.industry <> '' GROUP BY e.industry HAVING cnt >= 1 ORDER BY avg_k DESC LIMIT 10 [ RunTime:0.040723s ]
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