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Census 2021 Data -
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Environment
Work, Jobs & Economy
WS9 0WHWalsall
This section examines the story of employment and industry WS9 0WH. We reveal data and analysis about occupations, industries, and how people travel to work, from commuting distances to transport methods. It gives an insight into working hours, unemployment trends, and the economic activity shaping the local life of people who live here.
Occupation
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.
OCCUPATION & TRADES
3.3% of residents aged 16+ in this postcode area are senior managers and directors, classified under the SOC 2020 occupational categories.
WS9 0WH has fewer managers and directors than the national average, which might suggest it's home to people with a wider range of jobs, often in trades, services, or local industries. It could mean the area is more affordable or has fewer opportunities for higher-level professional and managerial roles. This doesn't make the neighbourhood less desirable; it just reflects a different mix of skills and jobs that are vital for the local economy.
3.3%
-74.4%Percentage of residents in WS9 0WH who are in senior management or directors.
Industry
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
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.
SOCIO-ECONOMIC CLASSIFICATION
National Statistics Socio-Economic Classification figures reveal that 8.7% of WS9 0WH residents are classified as L1, L2, or L3.
By grouping roles according to skill level, educational attainment, and employment conditions, NS-SeC provides valuable insights into social disparities and helps inform policies aimed at fostering fairness and inclusion.
It should be noted that the Census 21 took place during COVID lockdown, when people were advised to work from home if they could.
8.7%
-34.1%Percentage of working-age people in WS9 0WH who are classed as L1, L2, or L3 NS-SeC.
Hours Worked
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.
FULL TIME WORKFORCE
The 2021 Census highlights that 63.3% of residents aged 16+ in WS9 0WH work full-time hours, defined as 30+ hours each week.
This is lower than the national average of 70.2%. An area like WS9 0WH with fewer full-time workers than average might have a higher number of retirees, students, or people in part-time or flexible jobs. It could be a place where industries like hospitality, retail, or freelance work are more common, which often don't require full-time hours. The cost of living might be lower too, allowing residents to work fewer hours. This could also reflect a more relaxed pace of life, especially in rural or coastal areas that attract semi-retired or part-time workers.
It should be noted that the Census 21 took place during COVID lockdown, when people were advised to work from home if they could.
63.3%
-9.8%Percentage of residents aged 16+ in WS9 0WH who work 30 or more hours per week.
Economic Activity
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.
ACTIVE AND IN WORK
Census data reveals that in WS9 0WH, 28.3% people are economically active (excluding students).
The fact that fewer people in WS9 0WH are economically active (excluding students) than national averages (58.6%) may indicate a higher proportion of retirees, stay-at-home parents, or individuals unable to work due to health reasons in the area. The area could also have fewer local job opportunities, leading to lower workforce participation. The neighbourhood might attract people seeking a quieter lifestyle, such as semi-retired individuals or those not reliant on full-time work. This could reflect a higher number of people in transitional periods, such as carers or those retraining for new roles.
28.3%
-51.7%Percentage of unemployed people aged 16+ in WS9 0WH who have never worked.
FAQs
Distance Travelled to Work
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.
COMMUTING TIMES
Census 2021 shows that in WS9 0WH, 3.3% of residents aged 16 and older have a commute to work of less than 2km.
In the WS9 0WH neighbourhood, fewer people commute less than 2km to work, which means workplaces, schools, or amenities are further afield. It could be a more rural or suburban area where people have to travel further for jobs or services. Alternatively, it might have lots of residents who work in specialised industries or city centres, meaning longer commutes are the norm. This could also suggest fewer local job opportunities, encouraging people to look further afield for work.
It should be noted that the Census 21 took place during COVID lockdown, when people were advised to work from home if they could.
3.3%
-70.0%Percentage of residents in WS9 0WH who travel less than 2km to work.
Unemployment History
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.
NEVER WORKED
Census data from 2021 suggests that 10.8% of unemployed people in WS9 0WH have no work history.
Having fewer unemployed people who've never worked in WS9 0WH suggests a neighbourhood with connections to good job opportunities and access to education or training. It might also reflect a more skilled or experienced population, where residents are more likely to find work. The neighbourhood could have a strong local economy or be close to industries that regularly hire new staff. Another possibility is that the area is relatively affluent, attracting people with stable employment histories or career prospects.
10.8%
-57.8%Percentage of unemployed people aged 16+ in WS9 0WH who have never worked.
Method of Travel to Work
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.
DRIVING TO WORK
50% of working age people who are in work commute to their workplace by car or van, Census 2021 data shows.
More people commute to work by car/van than the national average (44.5%). This may mean WS9 0WH has fewer public transport options, making driving a necessity. It may point to a rural or suburban neighbourhood where jobs, schools, and shops are further away. The area could attract families or professionals who rely on cars for convenience or flexibility. Good road infrastructure such as motorways or ample parking might encourage more residents to use private vehicles for commuting.
It should be noted that the Census 21 took place during COVID lockdown, when people were advised to work from home if they could.
50%
12.4%1 Data used for this page show statistics based on output area (OA - E00051794), a best-fit lookup between this postcode (WS9 0WH) and 2021 Census data. Output areas may include more households and population than postcodes.
Data source: Census 2021 / Office for National Statistics
Contains public sector information licensed under the Open Government Licence v3.0.
