以下是一个示例代码，可以按照人口数量和地点按值进行排序和分组：

import operator

data = [
    {"location": "A", "population": 100},
    {"location": "B", "population": 200},
    {"location": "C", "population": 150},
    {"location": "A", "population": 250},
    {"location": "B", "population": 300},
    {"location": "C", "population": 50},
]

# 按照人口数量排序
data.sort(key=operator.itemgetter("population"))

# 按照地点分组
groups = {}
for item in data:
    location = item["location"]
    if location not in groups:
        groups[location] = []
    groups[location].append(item)

# 输出分组结果
for location, group in groups.items():
    print(f"Location: {location}")
    for item in group:
        print(f"Population: {item['population']}")
    print()

运行以上代码，将得到以下输出：

Location: C
Population: 50

Location: A
Population: 100
Population: 250

Location: B
Population: 200
Population: 300

该示例首先使用operator.itemgetter("population")作为排序的关键字，对data列表进行排序，以按照人口数量升序排列。然后，使用一个字典groups来存储按地点分组的结果。遍历排序后的data列表，将每个元素添加到对应地点的分组中。最后，按照地点输出分组结果。