Work, Jobs & Economy

Occupation categorises individuals based on their primary job or profession. This table provides insights into the distribution of employment across various occupational categories within a given population. It helps to understand the diversity of jobs and professions held by residents, informing labour market policies, workforce training programmes, and career development initiatives. Additionally, it aids in assessing the demand for different skills and occupations within the economy.

Industry categorises individuals based on the sector or industry in which they are employed. This table provides insights into the distribution of employment across various sectors within a given population. It helps to understand the economic structure of the region, including the prevalence of industries such as manufacturing, healthcare, education, and others. This information informs economic development strategies, workforce training programmes, and job creation initiatives aimed at promoting growth and prosperity.

NS-SeC categorises individuals based on their occupation according to the National Statistics Socio-economic Classification (NS-SeC). This classification system divides occupations into several socio-economic groups based on factors such as skill level, educational attainment, and employment status. This table provides insights into the socio-economic structure of the population, helping to understand patterns of employment and social inequality. It informs policies and initiatives aimed at addressing disparities and promoting social mobility.

Hours Worked categorises individuals based on the number of hours they work per week. This table provides insights into employment patterns within a given population, helping to understand the prevalence of different work schedules. It informs labour market policies and initiatives aimed at supporting workforce participation and balancing work-life commitments.

Economic Activity Status categorises individuals based on their current economic activity, such as being employed, unemployed, economically inactive, or retired. This table provides insights into the labour force participation and employment status within a given population. It helps to understand the distribution of economic activity across different demographic groups and informs policies related to employment, social welfare, and economic development.

Distance Travelled to Work categorises individuals based on the distance they travel from their home to their workplace. It typically includes options such as 'less than 1 kilometre,' '1-5 kilometres,' '5-10 kilometres,' '10-20 kilometres,' and 'over 20 kilometres,' among others. This table provides insights into commuting patterns within a given population, helping to understand the distribution of travel distances and modes of transportation used for work. It informs transportation planning and infrastructure development, particularly in urban areas where commuting distances can impact traffic congestion and public transportation demand.

Unemployment History categorises individuals based on their past experiences with unemployment. This table provides insights into the prevalence and duration of unemployment within a given population. It helps to understand patterns of joblessness, including the frequency of unemployment spells and transitions between employment and unemployment. This information informs labour market policies and initiatives aimed at reducing unemployment, supporting job seekers, and promoting economic stability.

Method of Travel categorises individuals based on the mode of transportation they use for their commute. This table provides insights into commuting patterns within a given population, including the prevalence of different transportation modes such as walking, cycling, driving, public transit, and others. It helps to understand the transportation needs and preferences of residents, informing urban planning and infrastructure development aimed at promoting sustainable and efficient transportation systems.