SQL中CASE结合COUNT统计pole_type结果异常的解决求助

I'm using the following SQL query to generate statistical data for specific customers:

SELECT COUNT(DISTINCT sur.`customer_id`) AS 'Survey Done'
 ,COUNT(CASE WHEN sn.operator_name LIKE '%Zong%' AND sn.`signal_strength` = 'No Signal' THEN 1 ELSE NULL END) AS 'Zong No Signal'
 ,COUNT(CASE WHEN sn.operator_name LIKE '%Mobilink%' AND sn.`signal_strength` = 'No Signal' THEN 1 ELSE NULL END) AS 'Mobilink No Signal'
 ,COUNT(CASE WHEN sn.operator_name LIKE '%Ufone%' AND sn.`signal_strength` = 'No Signal' THEN 1 ELSE NULL END) AS 'Ufone No Signal'
 ,COUNT(CASE WHEN sn.operator_name LIKE '%Telenor%' AND sn.`signal_strength` = 'No Signal' THEN 1 ELSE NULL END) AS 'Telenor No Signal'
 ,COUNT(CASE WHEN sur.`pole_type` LIKE '%Wall%' THEN 1 ELSE NULL END) AS 'Wall'
 ,COUNT(CASE WHEN sur.`pole_type` LIKE '%PC Pole%' THEN 1 ELSE NULL END) AS 'PC Pole'
 ,COUNT(CASE WHEN sur.`pole_type` LIKE '%Structure Pole%' THEN 1 ELSE NULL END) AS 'Structure pole'
 ,COUNT(CASE WHEN sur.`pole_type` LIKE '%Spon pole%' THEN 1 ELSE NULL END) AS 'Spon pole'
 ,sd.`sub_div_code` AS 'SD Code',  
 sd.`name` AS 'SD Name', 
 sd.`circle_name` AS 'Circle Name', 
 sd.`division_name` AS 'Division Name'
 FROM `survey` sur 
 INNER JOIN `survey_hesco_subdivision` sd ON sur.`sub_division` = 
 sd.`sub_div_code`
 INNER JOIN `survey_networks` sn ON sur.`id` = sn.`survey_id`
 WHERE sur.`customer_id` IN ('37010185878',
'37010718785',
'37010718759',
'37010357911',
'37010673539',
'37010673796',
'37010672166',
'37010672162')
 GROUP BY sd.`name`

All the count metrics are correct except for the ones related to pole_type:

,COUNT(CASE WHEN sur.`pole_type` LIKE '%Wall%' THEN 1 ELSE NULL END) AS 'Wall'
,COUNT(CASE WHEN sur.`pole_type` LIKE '%PC Pole%' THEN 1 ELSE NULL END) AS 'PC Pole'
,COUNT(CASE WHEN sur.`pole_type` LIKE '%Structure Pole%' THEN 1 ELSE NULL END) AS 'Structure pole'
,COUNT(CASE WHEN sur.`pole_type` LIKE '%Spon pole%' THEN 1 ELSE NULL END) AS 'Spon pole'

Currently, the query returns 10, 4, 24, 0 for these four fields respectively, but the actual correct counts should be 4, 1, 7, 0. I've tried replacing LIKE with = for exact matches, but the results are still incorrect. I've looked up relevant solutions but haven't found a fix yet. Could someone help me get the accurate statistical method for these pole types?

内容的提问来源于stack exchange，提问作者Moeez