Demographic Survey Questions: 15 Examples That Get Honest Answers

1Age range survey question

Age is the most analytically useful demographic question for almost every survey. It segments cleanly, generalises across industries, and rarely feels invasive when offered as ranges.

Ask: What is your age?

• Under 18
• 18 to 24
• 25 to 34
• 35 to 44
• 45 to 54
• 55 to 64
• 65 or older
• Prefer not to say

Ranges feel less identifying, reduce drop-off, and roll up cleanly when you cross-tab against satisfaction or NPS. If you need an exact age (medical, financial, regulated industries), state why in a single line above the field.

Skip if: your survey already pulls age from a verified source (employee HRIS, customer profile, ID verification).

2Gender identity survey question

Use 2026 inclusive phrasing. The standard pattern is a closed list with a self-describe text field, kept separate from sex assigned at birth (which most surveys do not need at all).

Ask: Which best describes your gender?

• Woman
• Man
• Non-binary or genderqueer
• Prefer to self-describe (text field)
• Prefer not to say

Always include the self-describe option and always include "Prefer not to say". The University of Arizona Inclusive Demographic Questions guide and the Greenhouse U.S. Standard demographic questions reference both treat these as defaults.

Skip if: you cannot show how gender will be used in the analysis. Collecting it for completeness without a plan to segment by it adds friction without value.

3Ethnicity survey question

Ethnicity belongs in a survey only when you plan to segment by it. Equity studies, representativeness checks, market research across regions, and DEI reporting all qualify. Customer-experience surveys for most B2B products do not.

Ask: Which of the following best describes you? Select all that apply.

• American Indian or Alaska Native
• Asian
• Black or African American
• Hispanic, Latino, or Spanish origin
• Middle Eastern or North African
• Native Hawaiian or Other Pacific Islander
• White
• Prefer to self-describe (text field)
• Prefer not to say

Multi-select is the inclusive default. Forcing a single answer on multi-ethnic respondents either drops them out or skews data. The USDA Standardized Optional Questions guidance and U.S. Census categories are the public-sector references most readers expect.

Skip if: you are outside the use cases above. In the EU, UK, and most of Asia, ethnicity is treated as special-category data under GDPR Article 9 and needs explicit consent plus a documented purpose.

4Income survey question

Income is the highest-friction demographic question on any survey. Use ranges, not free text. Decide upfront whether you need household income (consumer surveys) or individual income (employment, financial-services surveys). Mixing the two is a data-quality killer.

Ask: What is your annual household income?

• Under $25,000
• $25,000 to $49,999
• $50,000 to $74,999
• $75,000 to $99,999
• $100,000 to $149,999
• $150,000 to $199,999
• $200,000 or more
• Prefer not to say

If your respondent pool is global, switch to currency-neutral bands (quintiles or local-currency tiers per country). State the time period (annual, monthly) and the unit explicitly in the question stem.

Overlapping numbers like "$20,000 to $40,000" and "$40,001 to $60,000" force respondents at the boundary to pick arbitrarily, which is why every range above uses "to" with a clear cap.

Skip if: you can infer the answer from a transactional dataset you already own.

5Employment survey question

Employment status maps to spending power, life stage, and product fit. Consolidate "looking for a job" into this section rather than asking it as a separate yes / no.

Ask: Which best describes your current employment status?

• Employed full-time
• Employed part-time
• Self-employed or freelance
• Unemployed and looking for work
• Unemployed and not looking
• Student
• Homemaker or caregiver
• Retired
• Unable to work
• Prefer not to say

This wording follows the U.S. Bureau of Labor Statistics labour-force categories, which is the cleanest segmentation if you ever need to compare your data against national benchmarks.

Skip if: you are not running a recruitment, careers, or workforce-development study; the options above already capture job-search status.

6Industry and job role survey question

If your survey is for B2B research, customer feedback, or workforce studies, role and industry are more useful than a free-text job title. Free text creates dirty data (147 variants of "Manager") and is hard to segment.

Ask: Which industry do you work in?

• Technology and software
• Financial services
• Healthcare
• Education
• Retail and ecommerce
• Manufacturing
• Government or public sector
• Non-profit
• Media and entertainment
• Hospitality and travel
• Construction or real estate
• Other (text field)

Then ask: Which best describes your role?

• Individual contributor
• Team lead or manager
• Director
• VP or head of function
• C-level or owner
• Student or intern
• Not currently working

The two-question pattern beats a free-text "job title" field on data quality every time.

Skip if: you already have firmographic data from a CRM or signup flow.

7Education survey question

Ask for the highest level completed, not the level a respondent is currently working toward.

Ask: What is the highest level of education you have completed?

• Less than high school
• High school diploma or equivalent
• Some college, no degree
• Trade or technical certificate
• Associate degree
• Bachelor's degree
• Master's degree
• Professional degree (MD, JD, etc.)
• Doctoral degree (PhD, EdD)
• Prefer not to say

For non-US audiences, swap the labels to local equivalents (A-levels, baccalauréat, gymnasium). Education systems do not translate cleanly, so build the localisation step into the survey rather than shipping a US-only list to a global panel.

Skip if: education does not change how you would interpret the answer to the rest of the survey.

8Relationship status survey question

"Marital status" alone misses the way most adults actually describe their relationships in 2026. Use "relationship status" as the headline and include the longer-form options.

Ask: Which best describes your relationship status?

• Single, never married
• In a relationship, not living together
• In a relationship, living together
• Married or in a civil partnership
• Separated
• Divorced
• Widowed
• Prefer not to say

Skip if: this is a customer-experience or product-feedback survey. Use it only when household structure, family planning, or relationship stage actually affects how someone uses the product or service.

9Household composition survey question

Two short questions beat one. The first captures size, the second captures whether children are in the picture, which is what most consumer segmentation actually needs.

Ask: How many people live in your household, including you?

• 1 (just me)
• 2
• 3
• 4
• 5 or more

Then ask: Do any children under 18 live in your household?

• Yes
• No
• Prefer not to say

Skip if: you are not segmenting by household structure. For most B2B surveys this is dead weight.

10Location survey question

Decide the granularity before you build the field. Country is enough for most market-research surveys. State or province is useful for regional rollouts. City is rarely worth the privacy cost.

Country only (most surveys):

Dropdown listing all countries, with "Prefer not to say" at the top.

Country + region (regional studies):

Two dependent dropdowns. Country first, then the state or province list refreshes based on the country.

City and country (only when you ship something physical):

Open city field plus country dropdown. State the use ("to estimate shipping zones") in one line above the field.

For mobile-first surveys, use a country dropdown with type-ahead. A long radio list of 195 countries crashes form completion on a phone.

11Language survey question

Language matters for global product research, accessibility audits, and content localisation studies.

Ask: Which language do you speak most often at home?

• English
• Spanish
• Mandarin
• Hindi
• Arabic
• French
• Portuguese
• Other (text field)
• Prefer not to say

For multilingual respondents, follow up with "Which other languages do you speak fluently?" as a multi-select. If you are localising the survey itself, ask the language question first and route the respondent into a translated version.

The SurveyMonkey demographic best-practices guide recommends placing language and accessibility questions before the rest of the demographics so the survey can adapt.

12Disability survey question

The Washington Group Short Set on Functioning is the global standard. It avoids the word "disability" (which respondents under-report) and asks about functioning in six domains instead. Use it directly.

Ask each of the following with the same answer scale:

• Do you have difficulty seeing, even if wearing glasses?
• Do you have difficulty hearing, even if using a hearing aid?
• Do you have difficulty walking or climbing steps?
• Do you have difficulty remembering or concentrating?
• Do you have difficulty with self-care, such as washing all over or dressing?
• Using your usual language, do you have difficulty communicating?

Answer scale (same for all six):

• No, no difficulty
• Yes, some difficulty
• Yes, a lot of difficulty
• Cannot do it at all
• Prefer not to say

Skip if: you are outside accessibility audits, equity studies, healthcare research, or product research focused on assistive technology. Asking it casually feels invasive.

13Sexual orientation survey question (optional)

This is a sensitive question. Ask only when you have a clear analytical reason (DEI study, healthcare research, LGBTQ+ market research) and you can show it in a privacy note above the field.

Ask: Which best describes your sexual orientation?

• Straight or heterosexual
• Gay or lesbian
• Bisexual or pansexual
• Asexual
• Queer
• Prefer to self-describe (text field)
• Prefer not to say

The Greenhouse U.S. Standard demographic questions reference uses an equivalent list and the same self-describe + opt-out pattern.

Skip if: you cannot show a clear analytical use. Under GDPR Article 9, sexual orientation is special-category data and EU respondents need explicit consent and a documented purpose.

14Technology and digital access survey question

Useful for product research, digital-equity studies, and any survey where the answer might be shaped by what device the respondent is using.

Ask: Which devices do you use to access the internet? Select all that apply.

• Smartphone
• Tablet
• Laptop
• Desktop computer
• Smart TV
• Game console
• None of the above

Then ask: How would you describe your home internet connection?

• Reliable broadband
• Spotty broadband
• Mobile data only
• No home connection
• Prefer not to say

Skip if: device or connection quality has no bearing on your analysis.

15Religion and political affiliation (optional, sensitive)

Both are special-category data under GDPR Article 9 and both are flagged as sensitive in the Tourangeau and Yan sensitive-question research. Ask only when essential.

Religion (use only when relevant):

• Christian
• Muslim
• Hindu
• Buddhist
• Jewish
• Sikh
• Spiritual but not religious
• Atheist or agnostic
• Other (text field)
• Prefer not to say

Political affiliation (use only when relevant):

• Liberal or progressive
• Moderate
• Conservative
• Libertarian
• Other (text field)
• Prefer not to say

For US-specific political surveys, switch to party affiliation (Democrat, Republican, Independent, Other) with the same opt-out. Make both questions optional and place them last.