Australia Genpop

You can insert this screener into your survey using

s.standard_screener("AU", "GenPop")

Or if you want to edit it, just copy and paste the code below:

age = s.numeric_question(
    question="How old are you?",
    min_max=(18, 99),
    recodes={
        "18-24": "18-24",
        "25-34": "25-34",
        "35-44": "35-44",
        "45-54": "45-54",
        "55-64": "55-64",
        "65-99": "65+",
    },
)
gender = s.select_question("What is your gender?", ["Male", "Female", "Non-Binary", "Prefer not to say"])
income = s.numeric_question(
    "What is your annual income?",
    min_max=(0, 1000000),
    recodes={
        "0-14999": "Less than $15,000",
        "15000-24999": "$15,000 to $24,999",
        "25000-49999": "$25,000 to $49,999",
        "50000-74999": "$50,000 to $74,999",
        "75000-149999": "$75,000 to $149,999",
        "150000+": "$150,000 or more",
    },
)
location = s.select_question(
    "Which state or territory do you live in?",
    [
        "Victoria",
        "Queensland",
        "Tasmania",
        "Australian Capital Territory",
        "Northern Territory",
        "South Australia",
        "New South Wales",
        "Western Australia",
    ],
)

s.set_quota(
    name="Age",
    quotas=[
        s.quota("18-24", criteria=(18 <= age <= 24), quota=0.12),
        s.quota("25-34", criteria=(25 <= age <= 34), quota=0.19),
        s.quota("35-44", criteria=(35 <= age <= 44), quota=0.17),
        s.quota("45-54", criteria=(45 <= age <= 54), quota=0.16),
        s.quota("55-64", criteria=(55 <= age <= 64), quota=0.15),
        s.quota("65-99", criteria=(65 <= age <= 99), quota=0.21),
    ],
)
s.set_quota(
    name="Gender",
    quotas=[
        s.quota("Male", criteria=(gender == "Male"), quota=0.49),
        s.quota("Female", criteria=(gender == "Female"), quota=0.51),
    ],
)
s.set_quota(
    name="Income",
    quotas=[
        s.quota("0-14999", criteria=(income < 15000), quota=0.06),
        s.quota("15000-24999", criteria=(income >= 15000) & (income < 25000), quota=0.07),
        s.quota("25000-49999", criteria=(income >= 25000) & (income < 50000), quota=0.20),
        s.quota("50000-74999", criteria=(income >= 50000) & (income < 75000), quota=0.17),
        s.quota("75000-149999", criteria=(income >= 75000) & (income < 150000), quota=0.30),
        s.quota("150000+", criteria=(income >= 150000), quota=0.20),
    ],
)
s.set_quota(
    name="Location",
    quotas=[
        s.quota("Victoria", criteria=(location == "Victoria"), quota=0.25),
        s.quota("Queensland", criteria=(location == "Queensland"), quota=0.20),
        s.quota("Tasmania", criteria=(location == "Tasmania"), quota=0.02),
        s.quota(
            "Australian Capital Territory", criteria=(location == "Australian Capital Territory"), quota=0.02
        ),
        s.quota("Northern Territory", criteria=(location == "Northern Territory"), quota=0.01),
        s.quota("South Australia", criteria=(location == "South Australia"), quota=0.07),
        s.quota("New South Wales", criteria=(location == "New South Wales"), quota=0.32),
        s.quota("Western Australia", criteria=(location == "Western Australia"), quota=0.11),
    ],
)