• No results found

Household overcrowding in Stockholm: A study of its spatial distribution and associations with socio-economic, demographic and housing characteristics at a small-scale neighborhood level

N/A
N/A
Protected

Academic year: 2022

Share "Household overcrowding in Stockholm: A study of its spatial distribution and associations with socio-economic, demographic and housing characteristics at a small-scale neighborhood level"

Copied!
67
0
0

Loading.... (view fulltext now)

Full text

(1)

Household overcrowding in Stockholm

A study of its spatial distribution and associations with socio-economic, demographic and housing characteristics at a small-scale neighborhood level

Sanna Falk

Department of Human Geography Master’s Degree 30 HE credits

Master’s Programme in Urban and Regional Planning Spring term 2021

Supervisor: Karen Haandrikman

(2)

Falk, Sanna (2021)

Household overcrowding in Stockholm: a study of its spatial distribution and associations with socio-economic, demographic and housing characteristics at a small-scale

neighborhood level

Urban and Regional Planning, advanced level, master thesis for master exam in Urban and Regional Planning, 30 ECTS

Supervisor: Karen Haandrikman Language: English

Key words: Household overcrowding, neighborhood characteristics, cluster analysis, segregation, housing policy, urban planning, Stockholm.

Abstract

Existing studies of household overcrowding in Sweden are often descriptive and examine patterns at a large scale. Levels of overcrowding have increased since the mid-1980s and the highest shares are found in the largest cities among residents with a low income, a migration background, living in rental apartments, and often with children. The aim of this thesis is to increase the understanding of the measurements of household overcrowding, its development over time, its spatial patterns and its determinants at a small-scale neighborhood level with application to the City of Stockholm. It examines how the associations between

overcrowding and other neighborhood characteristics can be understood in different

neighborhood settings and what the implications are of using different scales and definitions of overcrowding. Cluster, correlation and regression analyses have been conducted using administrative data aggregated to key code areas and city districts. The results demonstrate that there are two types of overcrowding within the City of Stockholm, which are spatially separated and associated differently with socio-economic, demographic and housing

characteristics of neighborhoods. It is suggested that explanatory segregation theories related

to preference and economic and discriminatory structures are needed to understand the

uneven spatial distribution of overcrowding in the City of Stockholm.

(3)

Acknowledgements

I would like to thank my supervisor Karen, for being so supportive and for guiding me

throughout the process of writing this thesis. I would also like to thank the City of Stockholm

and Sweco for providing me with all the data used for the research.

(4)

Contents

1. Introduction ... 4

2. Background ... 6

2.1 Overcrowding in an international context ... 6

2.2 Overcrowding in a Swedish context ... 7

2.3 Overcrowding and urban planning ... 8

2.4 The inconsistency of overcrowding definitions in policy and research ... 11

3. Theoretical perspectives and previous studies ...12

3.1 The effects of household overcrowding ... 12

3.2 The associations between overcrowding and socio-economic, demographic and housing characteristics ... 13

3.3 The spatial variance of overcrowding ... 14

3.4 Socio-economic, ethnic and housing segregation in Stockholm ... 16

3.5 Measuring segregation at different scales ... 19

4. Hypotheses ...20

5. Methodology, methods and data ...21

5.1 Research design and methodological approach ... 21

5.2 Geographical scale ... 22

5.3 Data ... 24

5.4 Methods of analysis ... 27

5.5 Reliability and validity ... 30

5.6 Limitations ... 31

5.7 Ethical considerations ... 32

6. Results and analysis ...32

6.1 Household overcrowding over time ... 33

6.2 The spatial distribution of overcrowding ... 36

6.3 The formation of neighborhood clusters ... 38

6.4 Correlation analyses ... 42

6.5 Regression analyses ... 44

7. Discussion ...48

7.1 The importance of scale ... 49

7.2 The importance of overcrowding definition ... 50

7.3 The importance of neighborhood composition ... 51

7.4 The relation between overcrowding and segregation ... 56

8. Conclusions...58

List of references ...60

Appendix 1 ...65

(5)

1. Introduction

Almost a year into the Covid-19 pandemic, Sweden appears to have been more severely affected by the disease compared to the other Nordic countries. Both mortality rates and number of infected cases are higher in Sweden compared with its neighboring countries. The Public Health Agency in Sweden has stated that the high shares of household overcrowding in Sweden compared with the other countries may be one underlying factor explaining these differences partially (Yohannes 2021). Early into the pandemic, both the Public Health Authority and the media reported on the connection between high mortality rates of Covid-19 and living in socio-economic disadvantaged areas. The high share of overcrowding in such areas was pointed out to be one out of the risk factors (Blomdahl 2020; Kerpner 2020).

Thereby, the Covid-19 pandemic has intensified the public debate on both segregation and the high shares of overcrowding in Sweden.

Household overcrowding can be defined as a lack of housing space in relation to the size of the household. There are different definitions of what counts as a lack of space, and these definitions are used inconsistently within both research and policymaking. According to the two most common definitions, overcrowding has increased in Sweden since the mid-1980s (The National Audit Office 2019) and the highest shares of overcrowding are found in the largest cities, particularly in the Stockholm region (The National Audit Office 2019; The Swedish National Board of Housing, Building and Planning 2016). A lack of sufficient living space has been associated to negative health effects, both in relation to Covid-19 (Brandén et al. 2020; Raisi-Estabragh et al. 2020) but also to other physical health issues (Nkosi et al.

2019). In addition, it has been found to negatively impact residents’ mental health (Evans et al. 2002; Popoola 1999) and children’s school results (Contreras et al. 2019). Therefore, overcrowding is a matter of the right to adequate housing (WHO 2018).

In Sweden, it is the responsibility of the municipalities to ensure that citizens have the prerequisites to live in adequate dwellings (law 2000:1383, The Swedish Parliament 2020).

The municipal guidelines for physical planning “shall be based on an analysis of the demographic development, the housing demand, the housing need for certain groups and market conditions” (The Swedish Parliament 2020, second paragraph, my translation).

Therefore, household overcrowding is one of the indicators when calculating the future housing needs in the City of Stockholm (Karlsson et al. 2020). Furthermore, in the most recent City plan for Stockholm, in which the overall goals of urban development and planning are formulated, overcrowding is pointed out as a growing problem which

specifically affects socio-economically vulnerable groups. Proposed preventative solutions are to construct housing of different sizes and tenure types (Stockholm city plan, 2018). In addition, the development of household overcrowding has been chosen as the indicator of Stockholm’s implementation of the 11th global Sustainable Development Goal which focuses on sustainable cities (Hållbarhetsrapport 2021).

Despite the intensified public debate on overcrowding and the goal for the City of Stockholm to decrease household overcrowding, little is known about how it is associated with socio- economic, demographic and housing characteristics. Studies have found that there are clear segregation patterns in Stockholm, based on income (Andersson & Kährik 2016; Malmberg et al. 2016; Haandrikman et al. 2020) and ethnic background (Andersson & Kährik 2016;

Andersson et al. 2020b; Malmberg & Clark 2020). But it is unexplored how overcrowding

can be understood in relation to these patterns.

(6)

Most studies on overcrowding have been descriptive and based on quite large-scale areas. It has been found that certain population groups are overrepresented within the statistics on overcrowding, such as residents with a migration background (The National Audit Office 2019; The Swedish National Board of Housing, Building and Planning 2016; Myers et al.

1996), low-income households (The National Audit Office 2019; The Swedish National Board of Housing, Building and Planning 2016; Myers et al. 1996) and single parents

(Karlsson et al. 2020; The National Audit Office 2019). Due to the descriptive and large-scale focus of these studies, they might conceal small-scale dynamics, local variations, and how possible determinants may influence each other in their associations with overcrowding.

From the limited literature examining overcrowding at a smaller scale level, there are indications of a divided distribution pattern of overcrowding within the City of Stockholm.

One report found high shares both in suburban areas with low median incomes and in inner- city areas with high median incomes (The Swedish National Board of Housing, Building and Planning 2016). Another small-scale study of two spatially separated areas in Stockholm with high shares of overcrowding, found that overcrowded residents had different socio-economic, demographic and housing characteristics, depending on the area (Ekstam 2015). The

conclusion was that there exist a ‘distressed overcrowding’ and ‘gentrified overcrowding’.

Whether these findings are valid and can be scaled up to include all areas of Stockholm is yet to be explored.

Based on the identified gaps in previous research on household overcrowding, the aim of this thesis is to increase the understanding of the measurements of household overcrowding, its development over time, its spatial patterns and its determinants at a small-scale neighborhood level with application to the City of Stockholm. This will be done using administrative data on the share of overcrowding according to three definitions, as well as socio-economic, demographic and housing characteristics at neighborhood level. The following research questions will be examined:

1. What are the implications of using different scales and definitions of overcrowding for understanding the development of overcrowding over time, its spatial distribution, as well as how it is associated with neighborhood socio-economic, demographic and housing characteristics?

2. In which way does the spatial distribution of overcrowding, and its associations with other neighborhood characteristics, depend on neighborhood composition?

3. In which way can overcrowding in Stockholm be understood through explanatory theories of segregation?

I will thereby contribute to the literature by (I) examining small-scale dynamics related to overcrowding within different geographical divisions for the City of Stockholm; (II) testing the results from previous small-scale studies for a large number of areas in the City of

Stockholm; (III) examining how well the determinants that previous studies using descriptive statistics have found to be connected with overcrowding performs as determinants of

overcrowding in multivariate analyses; and (IV) comparing the three most commonly used measurements of overcrowding.

The thesis starts with a background which places overcrowding both in the international and

the Swedish context and relates the topic to physical planning. I also describe the various

(7)

definitions of overcrowding and reflect upon the inconsistency of the usage of these definitions in policy and research. This is followed by a section of previous research on overcrowding related to its effects, how it has been associated with different population groups and its spatial variance. Previous research on, and explanatory theories of, residential and housing segregation are also outlined. Based on these sections, I formulate my

hypotheses and then turn to describing my methodology, research design and methods.

Finally, the results of the thesis are presented and interpreted. In the discussion, I answer the research questions based on the hypotheses and thereby relate the findings back to previous research on overcrowding and the explanatory theories of segregation. In the conclusion I summarize my findings, reflect upon the contributions of the thesis and make some suggestions for further research on the topic of overcrowding.

2. Background

This section focuses on describing how household overcrowding can be placed and interpreted in the international and the Swedish context. The development of different definitions is outlined from a historical and discursive perspective. This is related to their practical application in planning and policy. The definitions are then summarized to provide an overview of how overcrowding is understood and used differently. This will be of value before turning to the section on previous research since there is not one agreed upon definition used in the literature.

2.1 Overcrowding in an international context

The right to adequate housing for the well-being and health of all people is one of the human rights, expressed in article 25.1 (UN 1948). The World Health Organization (WHO) has pointed out access to sufficient living space as one key factor to avoid certain negative health effects associated with inadequate housing such as respiratory infectious diseases,

gastroenteritis, diarrheal diseases, other infectious diseases and mental health (WHO 2018).

Globally, the topic of adequate housing has been connected to rapid urbanization. With an increased concentration of people in cities, the access to adequate living space risks to decrease. This arguably puts high pressure on the planning and construction sector.

Furthermore, adequate housing has been integrated into the global debate of how to develop sustainable cities. In 2015, the countries in the United Nations agreed upon 17 Sustainable Development Goals (SDGs). The first target of the 11th goal on sustainable cities is to “by 2030, ensure access for all to adequate, safe and affordable housing and basic services and upgrade slums” (United Nations 2015: 24). This raises the question of what defines ‘adequate housing’. In a synthesis report of this SDG goal, eight evaluation criteria are presented to define and monitor adequate housing internationally. Among other criteria, one is: “sufficient living area, overcrowding” (UN-Habitat 2018: 40). Thus, household overcrowding is one way to understand what ‘adequate housing’ means in practice. It is also stressed that overcrowding is an issue for health and well-being independently of a country’s economic status (WHO 2018). Therefore, it can be concluded that the position of the international community is that all people in the world ought to have enough living space to be able to live a healthy life.

To implement the SDGs, each country has the responsibility to adapt the goals to local needs

and conditions. In Sweden, one out of the three indicators for the SDG goal on sustainable

cities is the share of household overcrowding (The Swedish Association of Local Authorities

and Regions 2021). Further, for Stockholm municipality, household overcrowding is the only

(8)

indicator for the evaluation of the SDG goal of sustainable cities (Hållbarhetsrapport 2021).

In this way, the global goal to ensure adequate housing for all has trickled down to the

municipal level in Stockholm. However, the importance of overcrowding for housing policies in Sweden has its own historical roots. This will be developed upon in the next section.

2.2 Overcrowding in a Swedish context

As described above, overcrowding is directly connected to adequate housing and good living conditions. This section will describe how overcrowding can be understood in the Swedish context and how it is connected to the development of the Swedish welfare state and contemporary urban planning policies.

Consistent with the international context, the issue of overcrowding in Sweden has been related to rapid urbanization, which increased substantially in the beginning of the 20th century. This process motivated the first population- and housing census in Sweden, which was carried out between 1912 and 1914. The results indicated that the housing conditions in Sweden were among the worst in Europe and that household overcrowding was common. At the same time, there birth rates were low which in public debates was connected to the deficient housing standards. Thereby, the issue of poor housing conditions and household overcrowding was no longer viewed merely as personal problems, but became of importance for the development of the country (Ekstam 2013; The Swedish National Board of Housing, Building and Planning 2016). This spurred the transition of the housing conditions from the private sphere to the political arena in which overcrowding became part of the new housing policies created to improve the living conditions. During the 20th century, three norms which define overcrowding have been developed and politically adopted. It has been argued that these norms can be interpreted as welfare goals since they have had a significant impact on the development of the Swedish housing stock (Ekstam 2013).

The three overcrowding norms defined a minimum of what was considered to be a good living standard at the time they were implemented. Households which did not fulfill the requirements of the norms were considered to be overcrowded. The first overcrowding norm was part of various political measures in the first part of the 20th century aimed to improve the housing standards in Sweden. Based on these political measures, a proposition was formulated in 1946 which stated that within a household, maximum two people could share one bedroom and the household should also have a separate kitchen. A separate living room was not considered necessary at this time. The second overcrowding norm was officially implemented in 1967 and like the first norm, it states that no more than two people should need to share a bedroom. In addition, the household should have a kitchen as well as a living room. The third overcrowding norm was first formulated in 1975. According to this

definition, each individual within the household, including children, should have a separate bedroom. The exception is partners, who are expected to share a bedroom. In addition, the household should include a living room and a kitchen. The third norm is the last norm which has been officially decided upon in Sweden (Ekstam 2013, The Swedish National Board of Housing, Building and Planning 2016). The norms are summarized in table 1 below.

The changing definitions of the norms can be understood to reflect both the changing political

discourse as well as the view on how much space that was considered to be a minimum for an

adequate living. The first norm was the result of various political measures sprung out of the

first population and housing census in the beginning of the century. Larger and better living

spaces were thought to enable better conditions for family life. Thereby the norm would

(9)

contribute to the goal of increased birth rates in Sweden (Ekstam 2013). It was also thought to combat the spreading of certain diseases, prostitution, incest and alcoholism (The Swedish National Board of Housing, Building and Planning 2016). The second norm was motivated by a perception that the population had started to demand larger living spaces, which at this time was lacking within the housing stock. Thus, the negative effects of overcrowding were no longer at the center of the discourse, but rather the housing need based on demand

(Ekstam 2013). The second standard was formulated in the beginning of the Million program and thus influenced the standards of the large construction of housing during this period of time (The Swedish National Board of Housing, Building and Planning 2016).

In 1975, just when the Million program finished, the third overcrowding norm was formulated. At this time, the increasing segregation and unequal access to good housing conditions were at the center of the political discourse. Both financial constraints of the lower income groups and the uneven distribution of housing where smaller households (especially elderly without children) occupied large-sized housing while larger households resided in smaller-sized housing, were used as explanations. Consequently, to construct larger dwellings was not perceived to be a viable solution of overcrowding. Instead, housing allowances were introduced to enable low-income groups to demand larger dwellings. However, the third norm was much debated since it was first formulated. The first point of view was that access to sufficient living space was a universal need and a social right. Therefore, the third norm was perceived as a mean to improve the general welfare. The second perspective was that the norm was too normative and would pose as an obstacle for the freedom of the individual to choose how to live and spend her money (Ekstam 2013).

In conclusion, the overcrowding norms have fulfilled different purposes. From being part of a solution to low population growth and health problems (norm 1) to fulfilling citizens’

demands (norm 2) to being understood as a social right and a way to combat segregation (norm 3). Throughout all definitions, however, the belief is that living in a household with sufficient space is important for the well-being of its residents and therefore it has been an important cornerstone within housing policy and the Swedish welfare project.

2.3 Overcrowding and urban planning

Whereas the first and the second norm effectively had an impact on the construction of housing, the impact of the third norm has been argued to be vaguer (The Swedish National Board of Housing, Building and Planning 2016). In practice, the norm was supposed to fulfill two main purposes. First, as a selection criterion for housing allowances and second, as a basis for assessing the housing need and supply, as well as the provision of rental apartments (The Swedish National Board of Housing, Building and Planning 2016). Regarding housing allowances, the National Board of Health and Welfare is responsible. However, today they do not use norm 3 as a basis for their eligibility decisions. Instead, they have developed their own definition of overcrowding. Compared with norm 3, this definition is more restrictive of how much living space that is considered to be needed. Adults ought to have separate

bedrooms (excluding couples) but two children do not need separate bedrooms. However,

“with increasing age and personal integrity, children should not need to share bedrooms” (the

National Board of Health and Welfare 2013, my translation). Furthermore, a threshold of the

apartment size in square meters is added in addition to the persons-per-room definition. This

definition appears to be an adaptation of the one used within the EU definition. The EU norm

differs in that it specifies an age limitation and that it depends on the genders of the children

in the household: two children under the age of 12 can share a bedroom notwithstanding their

(10)

gender. However, children of different genders aged 12 or older need separate bedrooms while children of the same gender can share one bedroom until the age of 18 (Eurostat 2014).

The second purpose of the third norm was to function as a basis for assessing the housing supply and provision of rentals. Regarding the provision of rentals, the housing agencies base their subletting of apartments on a queuing system. It is unclear if, or to what extent, the norm is applied as an additional criterion (The Swedish National Board of Housing, Building and Planning 2016). The housing supply is interconnected with the physical urban planning, which is the responsibility of the municipalities in Sweden. They have the decision-making mandate. The role of national and regional agencies is to provide guidelines and to ascertain that national and regional interests are included in the municipal physical planning. One influential actor at the national level is The Swedish National Board of Housing, Building and Planning. Their role is to provide guidelines and to produce and distribute knowledge regarding urban and regional planning, construction and housing. In their latest report on the housing shortage in Sweden, it is not the third overcrowding norm which is used, but the one formulated by The National Board of Health and Welfare. However, in addition, they specify the age limit of children that need separate rooms to the age of 12 – the same limit as defined by the EU (The Swedish National Board of Housing, Building and Planning 2020).

At the municipal level, the focus of the urban development and city planning is described in a city plan (översiktsplan). This plan formulates the overall goals of urban planning and

specifies how it will comply with national, regional and local interests as well as how it will contribute to a sustainable development of the municipality. The city plans are not binding.

Instead, there are detailed development plans (detaljplaner) which legally regulate the

development of the physical land use (The Swedish National Board of Housing, Building and Planning 2019). In the Stockholm city plan, overcrowding is indeed mentioned as a growing problem which specifically affects socio-economically vulnerable groups. The plan relates the high shares of overcrowding to an imbalance between the influx of people and the construction of new housing. Therefore, the solution presented in the plan is to construct more housing of different sizes and different tenure types. It is also mentioned that public spaces are of great importance in areas with high shares of overcrowding (Stockholm city plan, 2018). Furthermore, overcrowding is one of the variables which are included in the forecast of the city’s housing needs. The calculations are based on three definitions of overcrowding; norm 2, norm 3 and the EU norm (Karlsson et al. 2020). In addition, the third overcrowding norm is the indicator used to measure the progress of the 11th Agenda 2030 goal of developing sustainable cities. In the report, connections are made both to the housing shortage in the city, socio-economic segregation, and the negative effects of living in

overcrowded households (Hållbarhetsrapport 2021). Thus, the third overcrowding norm appears to be the most frequently used one within the urban planning sector in Stockholm.

Below is a summary of the overcrowding definitions described in this section. Note that they

define households that do not fulfill the requirements in the description as overcrowded. The

table also describes which definition has been used by each research and policy reference

within the Swedish context that figure in this thesis.

(11)

Table 1. Definitions of household overcrowding.

Label Description Year of origin Research and policies Norm 1 Maximum two persons per room. In

addition, the household has a kitchen.

1946

Norm 2 Maximum two persons per bedroom.

Additionally, the household has a separate kitchen and living room.

1967 ✓ The Swedish National Board of Housing, Building and Planning (2016)

✓ “Extreme overcrowding” according to The National Audit Office (2019)

✓ The Swedish Association of Local Authorities and Regions (2021)

✓ Popoola (1999) Adjusted

norm 2

Adjustment: one-person households living in a one-room apartment are not considered to be overcrowded.

2012 (earliest numbers in the database)

✓ Karlsson et al. (2020)

Norm 3 Maximum one person per bedroom, besides married and/or registered couples that can share. Additionally, the household has a separate kitchen and living room.

1975 ✓ The National Audit Office (2019)

✓ The Swedish Association of Local Authorities and Regions (2021)

✓ Hållbarhetsrapport (2020)

✓ Ekstam (2015)

Adjusted norm 3

Adjustment: one-person households living in a one-room apartment are not considered to be overcrowded.

2012 (earliest numbers in the database)

✓ Karlsson et al. (2020)

EU norm Maximum one person per bedroom for those over the age of 18, besides married and/or registered couples that can share. Children below the age of 12 can share bedrooms. Children between the age 12 and 18 can share bedrooms if they are of the same gender. If they are of different genders, they need separate bedrooms. Additionally, the household has a separate kitchen and living room.

2011 (earliest numbers in the database)

✓ Eurostat (2014)

Adjusted EU norm (1)

Adjustment: no difference is made based on the gender of the children. All children over the age of 12 are

considered to need a separate bedroom.

2013 (latest version of The National Board of Health and Welfares guidelines)

✓ Karlsson et al. (2020)

✓ The National Board of Health and Welfare (2013)

Adjusted EU norm (2)

Adjustment: no difference is made based on the gender of the children. All children over the age of 12 are

considered to need a separate bedroom.

Inclusion of the indicator “less than 20 sqm/person” when lacking information on numbers of rooms.

2020 ✓ The Swedish National Board of Housing, Building and Planning (2020)

(12)

2.4 The inconsistency of overcrowding definitions in policy and research

The previous section has provided insights of the various definitions of overcrowding. It is clear that there is an inconsistency both within policy and research of which definitions of overcrowding that are used. There are at least three norms that are still prevailing in the Swedish debate and research of overcrowding. The third norm is the latest official definition of overcrowding. This norm is indeed used in certain policy documents and reports

(Hållbarhetsrapporten 2020; Karlsson et. al 2020; the National Audit Office 2019). However, at a national level, definitions that are used are more in line with the EU norm (National Board of Health and Welfare 2013; National Board of Housing Building and Planning 2020).

In addition to these definitions, the second overcrowding norm, from 1967, is still present in various reports (The Swedish National Board of Housing, Building and Planning 2016;

Karlsson et al. 2020; the National Audit Office 2019). In the National Audit Office’s (2019) investigation of the effects of household overcrowding, the second norm is labeled “extreme overcrowding” with a reference to how Statistics Sweden defines a more extreme type of overcrowding. In the report from the National Board of Housing Building and Planning (2016) the usage of norm 2 instead of norm 3 is motivated by addressing critique directed towards the third norm: (I) it intervenes too much in people’s private lives; (II) it classifies one-person households living in studio apartments as being overcrowded without

acknowledging the high demand on small apartments; (III) it requires children to have their own rooms which is not considered necessary among many people; (IV) it is based on

assumptions of the relationships between members of households. Since these are not always identifiable in the register data, there is a risk for miscalculations. Norm 2 on the other hand, only calculates numbers of people per room, so knowledge of the relationships between the residents are not required (The Swedish National Board of Housing, Building and Planning 2016). The inconsistency of the usage of the overcrowding definitions, and the lack of clarity of how norm 3 fulfills its original purposes, has led the National Audit Office (2019) to the conclusion that the norm needs to be revised. The government has responded that it agrees in that the formulation and application of the norm needs to be revised (Skr 2019/20:4).

So, the pressing question is which definition of overcrowding best reflects the situation of overcrowding in Sweden? As has been described, it appears that there is an ongoing shift towards using adaptations of the EU definition. The appropriateness to use this definition as an indicator of overcrowding has been researched through comparing it with a subjective indicator measuring the extent to which residents perceive they have a shortage of living space. For Sweden, it appears that the EU definition indeed aligns well with the perceived shortage of space. Both indicators resulted in around 12-13% of overcrowding in 2011 (Sunega & Lux 2016). Thus, it appears that the EU definition of overcrowding is suitable for measuring overcrowding in Sweden. The second norm, on the other hand, may be suitable to measure extreme overcrowding whereas the third norm would reflect the official levels of overcrowding in Sweden.

The background section has shown the complexity of how overcrowding is defined and

which problems that are associated with overcrowding. An inconsistency of how the

definitions are used has been identified. This arguably has implications for research on the

topic. Since different definitions are used, it becomes more complicated to compare results

between different studies. However, there is an overall preference for using adaptations of

the EU definition and the second norm over the official third norm. A shift towards this

definition is arguably legitimized based on that it aligns with the perception of overcrowding.

(13)

3. Theoretical perspectives and previous studies

This section will review previous studies on overcrowding and outline some theoretical perspectives. It starts with an overview of studies focusing on the effects of living in

overcrowded households and proceeds with how overcrowding has been connected to certain socio-economic, demographic and housing characteristics. The chapter continues with a section on how overcrowding varies spatially. Further, the topic of overcrowding will be put into the context of socio-economic, ethnic, and housing segregation since similar spatial patterns are found. The last section will therefore present previous studies of segregation in Stockholm as well as the main theories of why segregation occurs.

3.1 The effects of household overcrowding

One stream of research on overcrowding focuses on the effects of living in such households.

This type of research is conducted mainly within the field of medicine and environmental psychology and generally focuses on the impacts on school results, physical health and mental health. For example, Contreras et al. (2019) studied the impact of overcrowding on children's academic performances in Latin America. Overcrowding was found to have a negative effect on school results, and even exceeded the negative impacts of other variables such as parental education, household assets and school factors. The study suggested that the negative impact of overcrowding on school results was higher for older children than for younger ones. Another study conducted in France found that the probability of being held back one year in school increased significantly with the number of persons per room in the household, while family size or socio-economic status did not matter (Goux & Maurin 2004).

Regarding the effects of overcrowding on mental health, one study from Austria found that not only did overcrowding have a negative impact on mental health, but also the housing type was an important factor. Children living in overcrowded households in multiple-family housing had worse mental health compared to children living in single-family detached homes or row houses (Evans et al. 2002). Overcrowding has also been found to have a negative impact on physical health. Nkosi et al.’s (2019) study of overcrowding in

Johannesburg found that living in overcrowded households was associated with higher levels of acute respiratory and gastrointestinal symptoms and fever. Another study found that overcrowding was an independent risk factor for severe Covid-19 infections among Black, Asian and minority ethnic populations in the United Kingdom, which overall had a greater risk of severe Covid-19 (Raisi-Estabragh et al. 2020). Furthermore, a study on Covid-19 mortality among elderly people in Sweden found that the deaths per 1000 inhabitants increased along with a decrease in living space. For persons living in households with less than 20 square meters per person (which is defined as overcrowded according to The Swedish National Board of Housing, Building and Planning, see table 1), the mortality rate was 73 per 1000 persons, compared with 22 per 1000 persons for those living in households with more than 60 square meters per person (Brandén et al. 2020).

Negative effects of overcrowding have also been found in studies using qualitative methods.

One such study was conducted in a specific neighborhood in Malmö, Herrgården. Based on interviews and observations, it was concluded that there are various risk factors of living in overcrowded households. The study found connections to both physical and mental problems such as sleep deprivation, lack of personal space, headaches as well as feelings of uneasiness and irritation. Further, adult residents suffered from stress related to their economic situation.

For children, the physical and mental effects of living in overcrowded households had an

(14)

impact on both their school situation and their leisure time, which often was spent outside of the household. In addition, overcrowding was found to have a negative impact on the

physical conditions of the housing due to a higher degree of wear (Popoola 1999).

However, the effects of overcrowding are not clear-cut. For example, a study conducted by The National Audit Office on the effects of overcrowding (norm 3) in Sweden did not find effects on health or school results. The study included single parents living in rentals in 1996 and 2002 that were overcrowded. Health was measured based on the number of days that the studied population had been hospitalized, days of sick leave as well as care leave (caring for a child who is ill). The children’s grades from primary school and high school were the

indicator for school results. The conclusion of the report was that there is a “safety margin”

between norm 3 and the type of overcrowding that potentially is harmful (The National Audit Office 2019). However, the validity of the research can be questioned since the indicators measuring health and school performance were limited. The reliability could also be questioned due to the limited group of people that was included in the study.

In sum, the effects of household overcrowding are dependent on the methods, the indicators and which definition of overcrowding that is used. More studies on the effects of

overcrowding are arguably needed but this is beyond the scope of the research in this thesis.

However, a majority of the studies indeed do find that overcrowding has negative effects which legitimizes further research to better understand the phenomenon of overcrowding.

3.2 The associations between overcrowding and socio-economic, demographic and housing characteristics

One strand of literature on overcrowding investigates which population groups that live in overcrowded households. Commonly, the results are descriptive and presented as

categorizations of population groups where some are found to constitute a larger part of the overcrowded population compared to other groups. In Sweden, it has been found that overcrowding is most common among single parent households (The National Audit Office 2019; Karlsson et al. 2020), households with children (Sweco 2020, Popoola 1999), migrants (The National Audit Office 2019; Statistics Sweden 2018; The Swedish National Board of Housing, Building and Planning 2016), Swedish born with two foreign born parents (The National Audit Office 2019) and households with a low disposable income (The National Audit Office 2019; The Swedish National Board of Housing, Building and Planning 2016).

Furthermore, there appears to be a difference in the share of overcrowding which depends on tenure type. Households living in rentals are more often overcrowded compared to those living in cooperative or ownership housing (The Swedish National Board of Housing, Building and Planning 2016; Karlsson et al. 2020). The share of overcrowding is also higher in smaller apartments, especially in one-bedroom apartments (The Swedish National Board of Housing, Building and Planning 2016). Despite the generally consistent knowledge on which social groups and housing characteristics are overrepresented among overcrowded

households, there are few studies that systematically have examined the independent relationships between these factors and overcrowding. Therefore, the above-mentioned characteristics of which social groups and household types that are overcrowded will be used as variables in the correlation and regression analyses of this thesis.

To the best of my knowledge, there has only been one academic study which specifically

study how overcrowding statistically relates to socio-economic and housing variables. This

study examines overcrowding in the United States at different geographical scales. Through

(15)

analyzing different regression models, Myers et al. (1996) found that the key explanatory variables of overcrowding were ethnic background, migration background and the level of income for families with children. Housing characteristics were found to have a much weaker effect on household overcrowding. Furthermore, the geographical comparison of different scales indicated that the smaller the scale, the higher the concentration of overcrowding.

Consequently, a district might have a low share of overcrowded households, while neighborhoods within that district can have high shares. To only analyze household overcrowding at a large scale can therefore be misleading (Myers et al. 1996).

The research conducted in this thesis will depart from the methods used by Myers et al.

(1996). I will construct regression models which include similar socio-economic,

demographic and housing variables, but these will be based on the findings of the descriptive Swedish studies outlined above. The purpose will be to analyze the relationship among the variables and overcrowding and to determine which of them are key determinants of

overcrowding in the City of Stockholm. Furthermore, the thesis aligns with the perspective of the importance of geographical scale that Myers et al. (1996) put forth. This thesis will both use larger-scale and smaller-scale neighborhoods, with the intention to provide a more detailed understanding of the relationship between neighborhood socio-economic, demographic and housing characteristics and the shares of overcrowding. The following section will outline what previous studies have found regarding the spatial distribution of overcrowding at different scales.

3.3 The spatial variance of overcrowding

To understand where overcrowding occurs, different geographical scale-levels can be looked at. Most research, and most available statistics, are limited to a national or municipal scale (for example Statistics Sweden 2018, The Swedish National Board of Housing, Building and Planning 2020, Andersson et al. 2020a). Studies at a municipal scale are consistent and it can be concluded that in Sweden, high shares of overcrowding are concentrated in the larger cities (The National Audit Office 2019; The Swedish National Board of Housing, Building and Planning 2016; The Swedish National Board of Housing, Building and Planning 2020;

Sweco 2020). However, it has also been found that there are spatial variations within the cities. Some studies have therefore focused on understanding the variation in overcrowding in specific areas within a city (Popoola 1999; Ekstam 2015). One example is Popoola’s (1999) study of a socio-economically distressed neighborhood in Malmö with a high share of overcrowding (Herrgården). In Herrgården, 35% of the households were overcrowded according to norm 2. All of these households included children and the majority, 94%, consisted of households with two parents while only 6% were single-parent households (Popoola 1999). This is in contrast with the previous mentioned finding that single parents tend to be overrepresented among the overcrowded households. Furthermore, the study showed that most of the overcrowded households had a migration background. However, this was also the case for the entire neighborhood. Regarding the housing characteristics, most overcrowded households lived in three-bedroom apartments, but two- and four-bedroom apartments were also common. The connection to three-generational living was found to be low (Popoola 1999).

A few studies have focused on describing the spatial variations of overcrowding within a city

through analysis at a smaller scale than municipal. For example, a report from The Swedish

National Board of Housing, Building and Planning (2016) examines overcrowding at the

parish scale in the three largest cities in Sweden. Another study describes the spatial variation

(16)

at a city district scale within the City of Stockholm (Karlsson et al. 2020). The findings indicate that within Stockholm, there is clustering of high shares of household overcrowding in some of the North-West and South-West parishes/city districts but also in the center of the city. However, in the center parishes, the share of overcrowding is lower than within the clusters of overcrowding in the North-West and the South-West parishes. Furthermore, it was found that high shares of overcrowding in the suburban parishes overlap with patterns of low median income, whereas overcrowding in the center overlaps with patterns of high median income. This is a pattern which was not found in the other two larger cities, Gothenburg and Malmö (The Swedish National Board of Housing, Building and Planning 2016).

Thus, it appears that residents in overcrowded households belong both to low and high- income groups within the City of Stockholm. This may indicate that former studies which found a connection between overcrowding and low income is not necessarily associated to overcrowding in all places when examining overcrowding at a smaller scale. This topic has been researched by Ekstam (2015). Based on survey data, two areas in Stockholm, which both had high shares of overcrowding, were compared based on the characteristics of the overcrowded and non-overcrowded households. The variables used to describe the

characteristics were migration background, household type, tenure type, number of rooms and income. Based on an analysis of these characteristics of the population in each area, Ekstam created a place-specific overcrowding typology. She labelled the first type “distressed overcrowding” and the second “gentrified overcrowding” (Ekstam 2015). The two types are not defined in detail but are rather based on commonly used categorizations of the two areas.

The suburban area of Hallunda is perceived as a “distressed” neighborhood characterized by households with relatively low income, low occupational levels, and poor health. The inner- city area of Katarina-Sofia is perceived as a “gentrified” neighborhood, having had an influx of middle-class households and a decrease of lower income groups. The overcrowded population in the suburban area (distressed overcrowding) and the inner-city area (gentrified overcrowding) is described in table 2 below.

Table 2. Characteristics of the overcrowded population in Ekstam’s (2015) typology.

Variables ‘distressed’ overcrowding ‘gentrified’ overcrowding

Migration background

Mix of people born in Sweden, Europe and outside of Europe. More common with non- European migrants.

Majority is born in Sweden.

Household type Majority have children.

20% are extended families.

Majority are single households.

40% have children.

Number of rooms Two-bedroom apartments. Studios and one-bedroom apartments.

Income Low- and mid-income earners. Mid- and high-income earners.

Tenure type Rentals are most common. Rentals are most common.

In addition to the categorization of two different types of overcrowding, Ekstam (2015) also analyzed the attitudes among residents of overcrowded and non-overcrowded households in both areas. One of the main arguments that Ekstam put forth as a conclusion of her analysis is that for the “gentrified” overcrowded population, living in the inner-city appears to be

prioritized over having access to large living space. Despite that 32% of the “gentrified”

overcrowded population did not consider that their dwelling fitted their needs, only 16%

(17)

would move from the neighborhood if possible. In comparison, 46% of the “distressed”

overcrowded population in the study would move from the neighborhood if it was possible.

The desire to gain symbolic capital through living in a popular inner-city area is thus put forth as an explanatory theory to understand why overcrowding occurs in areas that are not

characterized by high shares of low income and migration background (Ekstam 2015).

Furthermore, a clash between the understanding of overcrowding as a poverty-related

phenomenon in academic literature and as a type of “smart”/”compact”/”eco-friendly” living in the media has been identified. It is argued that the media coverage on the topic has

normalized overcrowding and contributed to a discourse of individual responsibility to adapt to their crowded housing situation through “smart” interior solutions. Consequently, the understanding of overcrowding as a societal problem which requires political measures is weakened (Ekstam 2015). To assess whether overcrowding requires political measures, it is arguably crucial to understand the mechanisms behind the two types of overcrowding that Ekstam has identified. I will therefore explore the findings of Ekstam (2015) and The Swedish National Board of Housing, Building and Planning (2016) which indicate that overcrowding relates differently to commonly used explanatory variables in different places of Stockholm.

In sum, the findings of The Swedish National Board of Housing, Building and Planning (2016), Karlsson et al. (2020) and Ekstam (2015) point towards that overcrowding is related to low- and high-income groups, residents with and without migration background and residents living in rentals. Further, the spatial distribution appears to be uneven. To

understand and interpret the geographical patterns of overcrowding, I will turn to segregation literature. Residential segregation can be defined as a spatial unevenness of the distribution of people belonging to different social groups (Andersson & Kährik, 2016). Housing

segregation, on the other hand, is defined as the unevenness of different types of housing (Wimark et al. 2018). Based on this, I find it appealing to connect my research on

overcrowding to the field of segregation. Therefore, the next section will briefly describe previous research on the topic of residential and housing segregation in Stockholm. Further, theories that attempt to explain why segregation occurs will be outlined. As formulated in the third research question of this thesis, I will reflect upon how my findings of the development, distribution and determinants of overcrowding can be related to these theories of segregation.

3.4 Socio-economic, ethnic and housing segregation in Stockholm

Segregation within the city of Stockholm

Residential segregation is defined as a relational phenomenon where social groups are

spatially distributed unevenly (Andersson & Kährik, 2016; Wimark, 2018). Segregation is not confined to a specific place but may rather be understood as a process of clustering in

different places (Bergsten & Holmqvist 2013). The most commonly studied factors are related to socio-economic variables and ethnicity. In the Swedish context, migration

background is often used as an indicator of ethnicity since there is no register of ethnic origin in Sweden. Another type of focus within the research on segregation is housing segregation.

Instead of focusing on the spatial distribution of social groups, such studies concentrate on

the distribution of different housing types. Commonly, the focus is on tenure types, such as

rentals, ownership, cooperatives, or housing types, such as single-family and multi-family

housing (Wimark 2018). For example, the cooperative tenure form has been found to be

increasingly concentrated in the center of Stockholm since 1990 and the share of public

(18)

rentals has decreased (Wimark et al. 2019). Previous studies within the field of segregation have found an increase of segregation, commonly measured as concentration, of income (Haandrikman et al. 2020; Andersson & Kährik 2016), migration background (Andersson &

Kährik 2016; Malmberg et al. 2016), and housing types (Wimark et al. 2019)

Research conducted on socio-economic segregation within the Stockholm context is rather consistent and points towards that there exist spatial concentrations of both residents with low income, mainly in certain outer suburbs dominated by multifamily housing, and high income, mainly in the center of Stockholm and in suburbs dominated by single-family housing

(Andersson & Kährik 2016; Malmberg et al. 2016). Interestingly, the level of segregation by concentration of affluence has been found to exceed the concentration of poverty. This means that the areas where high-income earners live tend to be more homogeneous than the areas with concentrations of low-income earners (Andersson & Kährik 2016; Haandrikman et al.

2020). Further, these patterns of socio-economic segregation in Stockholm have been associated with the patterns of ethnic segregation. The high concentration of affluence tends to coincide with high concentrations of Swedish born residents and concentrations of

residents with low incomes tend to coincide with concentrations of residents with a migration background (Andersson & Kährik 2016; Andersson et al. 2020b; Malmberg & Clark 2020).

In addition, these patterns of socio-economic and ethnic segregation in the City of Stockholm have also been connected to a spatial unevenness of tenure types. Both large-scale and small- scale neighborhoods which are dominated by a certain tenure type form have been found to overlap to a great extent with concentrations of certain income levels and ethnic backgrounds.

The level of socio-economic and ethnic mix is thereby related to the tenure forms (Andersson et al. 2020b). In areas with a dominance of rentals, there is often a concentration of low- income earners (Andersson & Kährik 2016; Andersson et al. 2020b) and residents with a migration background (Andersson et al. 2020b; Bråmå et al. 2005; Abramsson et al. 2002;

Bråmå & Andersson 2010; Molina 2005). There are also overlaps of the concentrations of affluent and Swedish born residents and areas dominated by single-family housing and the cooperative tenure type at a large-scale neighborhood level (Andersson et al. 2020b).

Causes of segregation

There are various theoretical frameworks which seek to understand and explain why this spatial unevenness of social groups and housing types exist. Regarding segregation based on income and housing, explanations related to structural economic and political systems are commonly stressed. These systems are argued to have an impact on both the housing market and the labor market, which in turn affects for example unemployment rates and thereby resident’s possibility to pay rent and other housing costs. The economic and political systems may also have effects on the housing politics and the planning sector as well as the rent levels and the prices on ownership houses. In combination, these structures are argued to affect the individual’s possibility to change or improve their housing situation. For example, the

financial crisis in the beginning of the 1990s and the neoliberal changes at the housing market since then have been argued to have contributed to an increased level of segregation of both tenure types and socio-economic groups (Andersson & Kährik 2016; Wimark et al. 2019).

The theories related to structural processes are also used to understand ethnic segregation. It

has been shown that residents with a migration background in Stockholm and, other densely

populated cities, have lower disposable incomes compared with Swedish born residents

(Malmberg & Clark 2020 Andersson et al. 2020b). At the same time, the prices on the

(19)

housing market vary between areas. The argument is that the economic constraints for people with a migration background is related to the high concentrations of this population group in areas where housing and rent prices are low, and, subsequently, of Swedish born residents in areas where the prices are high. However, it is not established whether income sorting is a causal factor behind ethnic segregation, but it does indeed overlap (Malmberg & Clark 2020).

However, most studies appear to find that ethnic segregation cannot fully be explained by differences of income levels (Malmberg & Clark 2020; Molina 2005; Magnusson Turner &

Hedin 2013). Two main lines of theories attempt to explain this. The first one stresses that individual preference is a strong driver of where to move. There are two arguments within this stream of theory. The first one is that people belonging to the same ethnic group, especially the minority groups, want to live close to each other. This preference has been related to that it can be beneficial in terms of maintaining cultural practices and having close access to social networks and specific institutions (Vogiazides 2008; Abramsson et al. 2002).

The second argument is that people from the majority group (Swedish born in the context of Sweden) have a preference of not living with the minority groups (defined as residents with a migrant background in the Swedish context). This is often formulated as white flight or white avoidance, depending on if the majority group moves away from areas when the

concentration of the minority group increases (flight) or if they rather avoid moving to such areas (avoidance). Patterns of white flight and avoidance have been found in the Swedish context. Further, it has been stressed that there may exist a connection between the process of white flight and avoidance and the housing market. The argument is that the concentration of residents with a migration background in certain areas and Swedish born in other areas may cause a price-response on the housing market. The former areas are perceived as less

attractive and therefore prices are low, whereas the latter types of areas are perceived as more attractive, and which reflects higher prices on the housing market (Malmberg & Clark 2020).

The second line of theories which attempt to understand ethnic segregation stresses the impact of discriminatory factors. The place stratification theory is one such theory. It focuses on both cultural prejudices of the majority group, but also on discriminatory factors within the housing market (Vogiazides 2008). In the Swedish context, it has been found that there are obstacles on the housing market which can lead to discrimination of residents with a migration background, especially among those who have recently migrated to Sweden. The most pressing issue is that landlords have various demands on rent seekers. Among other things, some may not accept new tenants to receive social allowances (Bråmå et al. 2005). At the same time, people with a migration background receive social allowance to a higher degree than Swedish born (Bråmå et al. 2005). The outcome of the demands can therefore be discriminatory. Another obstacle is the possibility to receive bank loans, which may be more difficult for residents with a migration background since it has been found that this group has lower incomes compared with the Swedish born group (Molina 2005). Furthermore, in an experimental study of fictitious rent seekers, it was found that men with Arabic/Muslim sounding names were discriminated against. Based only on the name, this fictitious person received fewer callbacks, enquiries and invitations to showings of apartments compared to persons with Swedish sounding names. This indicates that people with a migration

background are not able to access rental housing to the same extent as people born in Sweden. A consequence may be that migrants are forced to seek housing in less attractive neighborhoods (Ahmed & Hammarstedt 2008).

In addition to the structural discriminatory obstacles within the housing market, it has been

stressed that there exists a process of racialization of the city in which segmented perceptions

(20)

of places leads to a stigmatization of certain neighborhoods. This is argued to lead to a collective discrimination which can also be internalized by residents. This process is argued to also have an impact on the access to the housing market, the individual preferences and thereby the patterns of segregation (Molina 2005).

This section has revised previous studies on segregation in Stockholm. To summarize, the patterns of socio-economic, ethnic and housing segregation in Stockholm overlap to some extent. This means that different population groups and housing types cluster together. In the outer suburbs dominated by multifamily housing, there are clusters with concentrations of rentals and residents with low incomes and a migration background. There are also clusters of single-family houses and/or a mix of housing types, with a concentration of Swedish born and high-income earners. Theories of preference, financial and political structures as well as discrimination have been used to explain these patterns.

3.5 Measuring segregation at different scales

As described in the above, studies on overcrowding are conducted at different geographical scales. To better understand the implication of choice of scale, this section will examine how scales are used differently within the more extensive field of segregation research.

When examining segregation, it is common to analyze areas with fixed boundaries such as municipalities or statistical areas (see for example Andersson & Kährik 2016). In the Swedish context it has been particularly common to examine Small Areas for Market Statistics

(SAMS). These areas have fixed boundaries which have been constructed to form

comparable units which to a large extent follow natural borders (Amcoff 2012). When using areas with fixed boundaries in research, individual data within these areas is aggregated.

Conversely, the result of the aggregated data will be different depending on where the boundaries are drawn, since this impacts who lives within, or outside of, the borders. For example, there could be one area with high shares of overcrowding in which a municipal border crosses in the middle. The result of the analysis of overcrowding in the two municipalities might thereby not detect or reflect the high shares of overcrowding in that specific area. This problem is part of the Modifiable Areal Unit Problem (MAUP). The MAUP summarizes a range of problems related to how the application of different

boundaries and scales in analyses will provide inconsistent results, even if the same variables are used. For research with a geographical dimension, this inconsistency creates a problem to correctly represent the reality. The representations will depend on which scale and which boundaries that are chosen. It is also an issue for comparing results since they will vary depending on these factors (Wong 2009).

In recent years, a new method has emerged where individualized neighborhoods are constructed instead of fixed boundary areas (see for example Haandrikman et al. 2020 or Malmberg et al. 2016). It departs from each single individual and defines neighborhoods using the nearest neighbors of each individual. Through adding a buffer of varying numbers of neighbors into the analysis, different scales can be projected. The method is therefore multiscalar and provides more flexible neighborhoods. Since it thereby avoids aspects of MAUP, it has been argued to have advantages to understand segregation patterns compared to analyzing areas with fixed boundaries (Malmberg et al. 2016; Haandrikman et al. 2020;

Andersson et al. 2020b). However, the disadvantage of this method is that it does not

necessarily follow natural or perceived neighborhood borders. It also requires access to

individualized data. Due to the advantage of examining overcrowding at a small scale (Myers

(21)

et al. 1996), but a lack of access to individualized data, the thesis is restricted to examining small scale areas with fixed boundaries. This will be developed upon in section 5.2.

4. Hypotheses

In the previous section, I gave an overview of the effects of overcrowding and discussed the different associations between overcrowding and socio-economic, demographic and housing characteristics as well as the spatial variations of overcrowding. Previous studies on patterns of socio-economic, ethnic and housing segregation were also described, and theories of what causes segregation have been explained. Based on the knowledge acquired in this section, I have formulated six hypotheses. They concretize what results are expected in this thesis.

Below I specify how the hypotheses are connected to the research questions:

My first research question is: What are the implications of using different scales and

definitions of overcrowding for understanding the development, the spatial distribution, and the associations with neighborhood socio-economic, demographic and housing

characteristics?

As described in the previous section, there has been an upswing among segregation

researchers to construct and analyze small-scale, individualized neighborhoods. The results from such studies generally find greater local variations at the smaller scales (e.g. Malmberg et al. 2016; Haandrikman et al. 2020). On the research of overcrowding, higher

concentrations of overcrowding were found at a small scale-level, compared with larger scales (Myeres et al. 1996). Furthermore, there are indications of that there exist high shares of overcrowding both in the center of Stockholm and in the suburbs (Ekstam 2015; The Swedish National Board of Housing, Building and Planning 2016). The second norm has been categorized as ‘extreme overcrowding’ (The National Audit Office 2019) and high levels of this type of overcrowding was found in Popoola’s (1999) study of an area in Malmö with low socio-economic status. The study found that the households that were overcrowded commonly had low income, a migration background and all of the households consisted of families with children. In addition, previous studies have found increased levels of

overcrowding (norm 2 and norm 3) at a national scale from the end of the 1980s to 2016 (The National Audit Office 2019) and, studies within the field of segregation have found an

increase of segregation based on income (Haandrikman et al. 2020; Andersson & Kährik 2016), migration background (Andersson & Kährik 2016; Malmberg et al. 2016), and housing types (Wimark et al. 2019). Therefore, my hypotheses are that:

• H1: The concentrations of overcrowding in the city of Stockholm are higher in certain areas in the inner-city as well as in the outer suburbs, compared to what has been found in studies using larger scales.

• H2: The spatial variation of overcrowding is larger when analyzing small-scale neighborhoods compared with larger city districts.

• H3: Overcrowding according to norm 2 is expected to be more strongly associated with low income, migration background and families with children compared with norm 3 and the EU norm.

• H4: The overcrowding has increased from 2012 to 2019, independently of definition

and scale.

(22)

My second research question is: In which way does the spatial distribution of overcrowding, and its associations with other neighborhood characteristics, depend on neighborhood composition?

Previous studies have found connections between overcrowding and single parent households (The National Audit Office 2019; Karlsson et al. 2020), households with children (Sweco 2020, Popoola 1999), migrants (The National Audit Office 2019; Statistics Sweden 2018;

The Swedish National Board of Housing, Building and Planning 2016), Swedish born with two foreign born parents (The National Audit Office 2019), households with a low disposable income (The National Audit Office 2019; The Swedish National Board of Housing, Building and Planning 2016), households living in rentals (The Swedish National Board of Housing, Building and Planning 2016; Karlsson et al. 2020) and in small apartments (The Swedish National Board of Housing, Building and Planning 2016). However, Ekstam (2015) found that overcrowding was connected differently to these variables in the two areas she examined, which both had high shares of overcrowding. In the outer suburban neighborhood,

overcrowding was connected to having a migration background, low income, family with children, living in rentals and two-bedroom apartments. In the inner-city neighborhood, it was connected to being Swedish born, having a mid- or high-income level, living in rentals and small apartments without children. Based on this, my hypotheses are:

• H5: All of the mentioned socio-economic, demographic and housing characteristics are positively associated with overcrowding when examining the whole City of Stockholm.

• H6: High shares of overcrowding are found both in outer suburban neighborhoods with lower socio-economic levels and in inner-city neighborhoods with higher socioeconomic levels.

• H7: The overcrowding within inner-city neighborhoods is expected to be highly associated with the share of small apartments and rentals. The overcrowding within the outer suburban neighbourhoods is expected to be strongly associated with the share of residents with a migration background, families with children, two- bedroom apartments, low-income households and rentals.

The third research question of the thesis is: In which way can overcrowding in Stockholm be understood through explanatory theories of segregation?

The final research question is related to all the above stated hypotheses. In the discussion, I will relate my findings to the previous studies and theoretical perspectives on segregation.

5. Methodology, methods and data

This section will first outline the research design and the methodological approach of the thesis. Then it describes how the data has been collected and processed. Further, it will describe the analytical methods that have been used. Finally, the reliability and validity, the limitations and some ethical considerations of the study are outlined.

5.1 Research design and methodological approach

The aim of this thesis is to increase the understanding of the measurements of household

overcrowding, its development over time, its spatial patterns and its determinants at a small-

scale neighborhood level with application to the City of Stockholm. Since the focus relates to

References

Related documents

This project focuses on the possible impact of (collaborative and non-collaborative) R&D grants on technological and industrial diversification in regions, while controlling

Analysen visar också att FoU-bidrag med krav på samverkan i högre grad än när det inte är ett krav, ökar regioners benägenhet att diversifiera till nya branscher och

The increasing availability of data and attention to services has increased the understanding of the contribution of services to innovation and productivity in

Parallellmarknader innebär dock inte en drivkraft för en grön omställning Ökad andel direktförsäljning räddar många lokala producenter och kan tyckas utgöra en drivkraft

From an economic perspective, differentiation between counter-urban movers and the others was perceptible through both the cluster of destination (The less

With such differences of measurement, segregation levels (based on the dissimilarity index) are hardly comparable among the 16 cities. Even so, bearing in mind the data

Swedenergy would like to underline the need of technology neutral methods for calculating the amount of renewable energy used for cooling and district cooling and to achieve an

However, they confirm the fact that demographics determinants (gender, age) and socio-economic determinants (education, income, labour status, degree of urbanization) have