# EU statistics on income and living conditions (EU-SILC) methodology - economic strain

This article is part of a set of articles describing the methodology applied for the computation of the statistical indicators pertinent to the subject area of Economic strain (ilc_mdes) within the overall domain of Income and living conditions. For these indicators, the article provides a methodological and practical framework of reference. The indicators relevant to the subject area of economic strain concern the following:

- Inability to keep home adequately warm
- Inability to afford paying for one week annual holiday away from home
- Inability to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day
- Inability to face unexpected financial expenses
- Arrears (mortgage or rent, utility bills or hire purchase)
- Arrears on mortgage or rent payments
- Arrears on utility bills
- Arrears on hire purchase instalments or other loan payments
- Inability to make ends meet

Moreover, since the indicators are of multidimensional structure and can be analysed simultaneously along several dimensions, the separate datasets providing these indicators along with the different combinations of dimensions are also presented.

## Contents

## Description

- The
**inability to keep home adequately warm**refers to the percentage of persons in the total population who are in the state of enforced inability to keep home adequately warm.

- The
**inability to afford paying for one week annual holiday away from home**refers to the percentage of persons in the total population who are in the state of enforced inability to afford paying for one week annual holiday away from home.

- The
**inability to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day**refers to the percentage of persons in the total population who are in the state of enforced inability to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day.

- The
**inability to face unexpected financial expenses**refers to the percentage of persons in the total population who are in the state of enforced inability to face unexpected financial expenses.

- The indicator on
**arrears (mortgage or rent, utility bills or hire purchase)**refers to the percentage of persons in the total population who are in the state of arrears (mortgage or rent, utility bills or hire purchase), expressing the enforced inability to pay their mortgage or rent, utility bills or hire purchase on time due to financial difficulties.

- The indicator on
**arrears on mortgage or rent payments**refers to the percentage of persons in the total population who are in the state of arrears on mortgage or rent payments, expressing the enforced inability to pay their mortgage or rent on time due to financial difficulties.

- The indicator on
**arrears on utility bills**refers to the percentage of persons in the total population who are in the state of arrears on utility bills, expressing the enforced inability to pay their utility bills on time due to financial difficulties.

- The indicator on
**arrears on hire purchase instalments or other loan payments**refers to the percentage of persons in the total population who are in the state of arrears on hire purchase instalments or other loan payments, expressing the enforced inability to pay for hire purchase instalments or other loan payments on time due to financial difficulties.

- The indicator on
**inability to make ends meet**refers to the percentage of persons in the total population who are in the state of enforced inability to make ends meet, based on the following groups of the subjective non-monetary indicator ￼￼￼￼￼(SUBJNMON) defining the ability to make ends meet:

- Households making ends meet with great difficulty (EM_GD)
- Households making ends meet with difficulty (EM_D)
- Households making ends meet with some difficulty (EM_SD)
- Households making ends meet fairly easily (EM_FE)
- Households making ends meet easily (EM_E)
- Households making ends meet very easily (EM_VE)

## Statistical population

The statistical population consists of all persons living in private private households. Persons living in collective households and in institutions are generally excluded from the target population.

People with missing values for the variables:

- Ability to keep home adequately warm’ (EU-SILC - HH050),
- Capacity to afford paying for one week annual holiday away from home (EU-SILC - HS040)
- Capacity to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day (EU-SILC - HS050)
- Capacity to face unexpected financial expenses (EU-SILC - HS060)

or any of the variables related to arrears, i.e.:

- Arrears on mortgage or rent payments (EU-SILC - HS011), which has replaced the variable HS020 as defined in the EU-SILC Regulation from the 2008 operation onwards.
^{[1]} - Arrears on utility bills (EU-SILC - HS021), which has replaced the variable HS020 as defined in the EU-SILC Regulation from the 2008 operation onwards.
^{[2]} - Arrears on hire purchase instalments or other loan payments (EU-SILC - HS031), which has replaced the variable HS030 defined in the EU-SILC Regulation from the 2008 operation onwards.
^{[3]}

In any case, people with missing values for any of the different dimensions that the indicator is presented, are excluded from the calculation.

## Reference population

All indicators are collected and disseminated on an annual basis and refer to the survey year.

The reference period for all dimensions along with the indicators with which they are disseminated, as well as the variables each time in question, is the survey year, except for age, income and household type. As far as age is concerned, it refers to the age of the respondent at the end of the income reference period. Income reference period for income variables – with the exceptions of Ireland (moving income reference period) and the UK (survey year).

## Unit of measurement

All indicators presented are made available as a percentage.

## Dimensions

The separate datasets provide each indicator along with the Geopolitical entity and time dimensions and the dimensions presented below.

All indicators presented, relevant to the subject are of economic strain are disseminated broken down by household type and income group (total, below 60 % of equivalised income, above 60 % of equivalised income), except for the indicator on inability to make end meet which is provided broken down by household type, income group (total, below 60 % of equivalised income, above 60 % of equivalised income) and the subjective and non-monetary indicator of making ends meet (SUBJNMON).

## Calculation method

**1. Inability to keep home adequately warm:**

The indicator on inability to keep home adequately warm broken down by a combination of dimensions (k) $ (HOME\_WARM_{at\_k}) $ ￼is calculated as the percentage of people in each k who cannot afford to keep home adequately warm (HH050=2).

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ HOME\_WARM_{at\_k}=\frac{\sum \limits _{\forall i\_at\_k\_where\_HH050=2} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

With regard to the calculation of the inability to keep home adequately warm, the following methodological issue should be taken into consideration:

- This question is about affordability (ability to pay) to keep the home adequately warm, regardless of whether the household actually needs to keep it adequately

warm.

**2. Inability to afford paying for one week annual holiday away from home:**

The indicator on inability to afford paying for one week annual holiday away from home, broken down by a combination of dimensions (k) $ (AFF\_HOLIDAY_{at\_k}) $ ￼is calculated as the percentage of people in each k who cannot afford paying for one week annual holiday away from home (HS040=2).

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ AFF\_HOLIDAY_{at\_k}=\frac{\sum \limits _{\forall i\_at\_k\_where\_HS040=2} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

With regard to the calculation of the inability to afford paying for one week annual holiday away from home, the following methodological issues should be taken into consideration:

- The question focuses mainly on affordability of some aspects of living standards. The wording of the question refers to the affordability and to the actual meaning "ability to pay" i.e. "the household has the resources to afford..." regardless if the household wants it.
- If at least one household member cannot afford to go for holidays the answer should be “No” (e.g. in cases where parents can afford to send children to a summer camp but cannot afford to go for a holiday for themselves, or where a grown-up son or daughter can afford a holiday but other household members cannot).
- Please note that in cases where in the household there are elderly members or members with health problems who have the resources to afford a week's annual holiday but for other reasons they cannot go or follow the other members of the household the answer should be "Yes".
- "Whole household" does not mean that the members of the household have to go all together and at the same time for holidays.
- If the household finances its holidays through borrowing (from bank, relatives or friends) it is considered in the same way as if the household manages to pay through own resources.

**3. Inability to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day:**

The inability to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day, broken down by a combination of dimensions (k) $ (AFF\_MEAL_{at\_k}) $ ￼is calculated as the percentage of people in each k who cannot afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day (HS050=2).

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ AFF\_MEAL_{at\_k}=\frac{\sum \limits _{\forall i\_at\_k\_where\_HS050=2} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

With regard to the calculation of the inability to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day), the following methodological issues should be taken into consideration:

- This question assesses whether, according to the household respondent, the household can afford a meal with meat, chicken or fish (or equivalent vegetarian) every second day, regardless if the household wants it.
- If the household manages to pay through borrowing (from bank, relatives or friends) it is considered in the same way as if the household manages to pay through own resources.

**4. Inability to face unexpected financial expenses:**

The inability to to face unexpected financial expenses, broken down by a combination of dimensions (k) $ (FACE\_EXP_{at\_k}) $ ￼is calculated as the percentage of people in each k who cannot face unexpected financial expenses (HS060=2).

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ FACE\_EXP_{at\_k}=\frac{\sum \limits _{\forall i\_at\_k\_where\_HH060=2} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

With regard to the calculation of the inability to face unexpected financial expenses, the following methodological issue should be taken into consideration:

- A required expense could be different across countries but examples are surgery, funeral, major repair in the house, replacement of durables like washing machine, car.

**5. Arrears (mortgage or rent, utility bills or hire purchase):**

Arrears (mortgage or rent, utility bills or hire purchase) broken down by a combination of dimensions (k) $ ARREARS_{k} $ is calculated as the percentage of people in each dimension who who are confronted with payment arrears for mortgage or rent, utility bills or hire purchase (HS011=1 or HS021=1 or HS031=1).

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ ARREARS_{at\_k}=\frac{\sum \limits _{\forall i\_at\_k\_where\_HS011=1\;or\;HS021=1\;or\;HS031=1} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

With regard to the calculation of the indicators related to arrears (mortgage or rent, utility bills or hire purchase), the following methodological issue should be taken into consideration:

- The TF on Material deprivation recommended, starting from the 2008 operation, to slightly change the questions on arrears by adding one more category in the possible answers (YES/NO) that will distinguish between households that were in arrears once (YES-once) or twice or more (YES – twice or more) in the last twelve months.
- Living conditions Working Group agreed during its 2010 meeting to suppress HS010 and to keep only HS011 starting from the 2011 operation.
- Living conditions Working Group agreed during its 2010 meeting to suppress HS020 and to keep only HS021 starting from the 2011 operation.
- Living conditions Working Group agreed during its 2010 meeting to suppress HS030 and to keep only HS031 starting from the 2011 operation.

**6. Arrears on mortgage or rent payments:**

Arrears on mortgage or rent payments broken down by a combination of dimensions (k) $ ARREARS\_RENT_{at\_k} $ is calculated as the percentage of people in each dimension who who are confronted with payment arrears for mortgage or rent payments (HS011=1).

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ ARREARS\_RENT_{at\_k}=\frac{\sum \limits _{\forall i\_at\_k\_where\_HS011=1} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

With regard to the calculation of the indicators related to arrears on mortgage or rent payments, the following methodological issue should be taken into consideration:

- The TF on Material deprivation recommended, starting from the 2008 operation, to slightly change the questions on arrears by adding one more category in the possible answers (YES/NO) that will distinguish between households that were in arrears once (YES-once) or twice or more (YES – twice or more) in the last twelve months.
- Living conditions Working Group agreed during its 2010 meeting to suppress HS010 and to keep only HS011 starting from the 2011 operation.

**7. Arrears on utility bills:**

Arrears on utility bills broken down by a combination of dimensions (k) $ ARREARS\_BILLS_{at\_k} $ is calculated as the percentage of people in each dimension who who are confronted with payment arrears for utility bills (HS021=1).

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ ARREARS\_BILLS_{at\_k}=\frac{\sum \limits _{\forall i\_at\_k\_where\_HS021=1} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

With regard to the calculation of the indicators related to arrears on utility bills, the following methodological issue should be taken into consideration:

- The TF on Material deprivation recommended, starting from the 2008 operation, to slightly change the questions on arrears by adding one more category in the possible answers (YES/NO) that will distinguish between households that were in arrears once (YES-once) or twice or more (YES – twice or more) in the last twelve months.
- Living conditions Working Group agreed during its 2010 meeting to suppress HS020 and to keep only HS021 starting from the 2011 operation.

**8. Arrears on hire purchase instalments or other loan payments:**

Arrears on on hire purchase instalments or other loan payments broken down by a combination of dimensions (k) $ ARREARS\_INSTALL_{at\_k} $ is calculated as the percentage of people in each dimension who who are confronted with payment arrears for hire purchase instalments or other loan payments (HS031=1).

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ ARREARS\_INSTALL_{at\_k}=\frac{\sum \limits _{\forall i\_at\_k\_where\_HS031=1} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

With regard to the calculation of the indicators related to arrears on hire purchase instalments or other loan payments, the following methodological issue should be taken into consideration:

- Living conditions Working Group agreed during its 2010 meeting to suppress HS030 and to keep only HS031 starting from the 2011 operation.

**9. Inability to make ends meet:**

Let SUBJNMON be the subjective non-monetary indicator that describes the ability to make ends meet and is defined as the set of values from 1 to 6 according to the level of difficulty to make ends meet. The inability to make ends meet broken down by each combination of dimensions (k) $ (ENDS\_MEETxx_{at\_k}) $ is calculated as the percentage of people in each k who cannot afford to make ends meet for all levels of SUBJNMON.

The weight variable used is the Adjusted Cross Sectional Weight (RB050a).

- $ ENDS\_MEETxx_{at\_k}=\frac{\sum \limits _{\forall i\;where\;SUBJNMON=EM\_xx\_at\_k} RB050a_i} {\sum \limits _{\forall i\_at\_k} RB050a_i} \times 100 $

where xx takes the values GD (great difficulty), D (difficulty), SD (some difficulty), FE (fairly easily), E (easily) and VE (very easily).

With regard to the calculation of the inability to make ends meet, the following methodological issues should be taken into consideration:

- The objective is to assess the respondent feeling about the level of difficulty experienced by the household in making ends meet.
- The usual necessary expenses of the household include housing related costs but exclude business and farm work costs.
- Member States are requested to use the same scale proposed in the given order in order to guarantee the maximum comparability.

Moreover, there are some methodological limitations that pertain to the following dimensions accompanying the indicators: Household type, Subjective and non-monetary indicator of making ends meet

## Main concepts used

For the production of the indicators relevant to the subject area of economic strain, the variables listed below are also involved in computations:

Material deprivation (MD), Median equivalised disposable income (MEDIAN 20).

## SAS scripts

SAS programming routines developed for the computation of the EU-SILC datasets providing the indicators on economic strain along with the different dimensions are listed below.

Dataset | SAS program file |
---|---|

Inability to keep home adequately warm (ilc_mdes01) | mdes01.sas |

Inability to afford paying for one week annual holiday away from home (ilc_mdes02) | mdes02.sas |

Inability to afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day (ilc_mdes03) | mdes03.sas |

Inability to face unexpected financial expenses (ilc_mdes04) | mdes04.sas |

Arrears (mortgage or rent, utility bills or hire purchase) from 2003 onwards (ilc_mdes05) | mdes05.sas |

Arrears on mortgage or rent payments (ilc_mdes06) | mdes06.sas |

Arrears on utility bills (ilc_mdes07) | mdes07.sas |

Arrears on hire purchase instalments or other loan payments (ilc_mdes08) | mdes08.sas |

Inability to make ends meet (ilc_mdes09) | mdes09.sas |

## See also

- EU statistics on income and living conditions (EU-SILC) methodology (overview of all articles)
- Material deprivation statistics - early results
- Income distribution statistics
- Social inclusion statistics
- Material deprivation and low work intensity statistics

## Further Eurostat information

### Publications

- 23 % of EU citizens were at risk of poverty or social exclusion in 2010 - Statistics in focus 9/2012
- Children were the age group at the highest risk of poverty or social exclusion in 2011 - Statistics in focus 4/2013
- European social statistics (2013) - Statistical books
- In 2011, 24 % of the population were at risk of poverty or social exclusion – News release
- In 2011, 27 % of children aged less than 18 were at risk of poverty or social exclusion – News release
- The continuity of indicators during the transition between ECHP and EU-SILC
- Comparative EU quality reports
- Modules: assessment of implementation

### Main tables

### Database

- Living conditions and welfare (livcon), see:

- Income and living conditions (ilc)
- Material deprivation (ilc_md)
- Economic strain (ilc_mdes)

- Material deprivation (ilc_md)

### Dedicated section

### Methodology / Metadata

- Income and living conditions (ilc) (ESMS metadata file — ilc_esms)
- Operation guidelines
- Methodological guidelines and description of EU-SILC target variables

### Other information

- Regulation 1177/2003 of 16 June 2003 concerning Community statistics on income and living conditions (EU-SILC)
- Regulation 1553/2005 of 7 September 2005 amending Regulation 1177/2003 concerning Community statistics on income and living conditions (EU-SILC)
- Regulation 1791/2006 of 20 November 2006 adapting certain Regulations and Decisions in the fields of ... statistics, ..., by reason of the accession of Bulgaria and Romania

## External links

- OECD - Better Life Initiative: Measuring Well-being and Progress
- The social dimension of the EUROPE 2020 strategy - A report of the social protection committee (2011)
- Employment and Social Developments in Europe (2013)

## Notes

- ↑ Living conditions Working Group agreed during its 2010 meeting to suppress HS010 and to keep only HS011 starting from the 2011 operation.
- ↑ The Living conditions Working Group agreed during its 2010 meeting to suppress HS020 and to keep only HS021 starting from the 2011 operation.
- ↑ The Living conditions Working Group agreed during its 2010 meeting to suppress HS030 and to keep only HS031 starting from the 2011 operation.