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# Summing up total population across multiple regions using a for loop

regions = [
    {"name": "North District", "population": 120000},
    {"name": "East District", "population": 95000},
    {"name": "South District", "population": 78000},
    {"name": "West District", "population": 110000}
]

total_population = 0
for region in regions:
    total_population += region["population"]

print("Total population across all regions:", total_population)

              
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# Finding the region with the highest median income

regions = [
    {"name": "North District", "incomes": [40000, 42000, 41000, 45000]},
    {"name": "East District", "incomes": [39000, 39500, 38500, 40000]},
    {"name": "South District", "incomes": [37000, 36000, 37500, 38000]},
    {"name": "West District", "incomes": [47000, 48000, 46000, 49000]}
]

def median(values):
    sorted_vals = sorted(values)
    n = len(sorted_vals)
    mid = n // 2
    if n % 2 == 0:
        return (sorted_vals[mid - 1] + sorted_vals[mid]) / 2
    else:
        return sorted_vals[mid]

highest_median = None
highest_region = None

for region in regions:
    region_median = median(region["incomes"])
    if highest_median is None or region_median > highest_median:
        highest_median = region_median
        highest_region = region["name"]

print("Region with the highest median income:", highest_region)