4A.1 - Economic activity and inequalities between places

Sectors and employment types

A place's economy includes both what people produce and the conditions under which they work.

A fishing crew is primary, a fish-processing factory secondary, a restaurant tertiary and a marine-research team quaternary. Quaternary work is often included within services in official statistics, so inspect the classification before comparing sources. Classify the activity, rather than assuming every job in one organisation has the same function: a factory's research team differs from its production line.

Employment type is a separate dimension. Full-time and part-time refer to working hours; temporary and permanent to the expected duration of a contract; employed and self-employed to the employment relationship. A part-time employee can have a permanent contract. A full-time self-employed worker can still face uncertain income. These categories must not be added as if they were mutually exclusive sectors.

For a local enquiry, record the source's hours threshold and whether it counts people, jobs or full-time equivalents. One person may hold two jobs. A seasonal rise in visitor-service jobs may increase the job count without providing secure year-round livelihoods.

Employment, output and social outcomes

An economy can provide many jobs without producing the highest value per worker, and high output does not guarantee that residents receive it.

Employment data show participation and job structure. State the denominator: the unemployment rate normally concerns unemployed people within the economically active population, whereas an employment rate uses a specified population group. Students and retired people are not automatically unemployed. Workplace jobs also differ from jobs held by residents, because commuters cross boundaries.

Gross value added (GVA) measures the value produced after subtracting intermediate inputs. Total output reflects an area's size as well as its productivity. Output per worker helps compare productive intensity but does not measure wages or household wellbeing.

In an original illustration, Zone A produces £120 million with 2,000 workers: £60,000 per worker. Zone B produces £100 million with 1,000 workers: £100,000 per worker. A has more workers and more total output, but B has higher output per worker. B is $(100{,}000-60{,}000)/60{,}000\times100=66.7\%$ above A, to one decimal place.

Secure paid work can improve access to food, heating and housing, reducing some health risks. Education can widen access to skilled jobs, while local tax resources and household income can support opportunities. These relationships can reinforce one another. They are not automatic: age structure, pollution, public services and housing costs also influence health, life expectancy and education. An association between output and life expectancy is a starting explanation to investigate, not proof that output alone caused the difference.