The situation of people and households before and after entering HAP are examined in this chapter. This analysis includes income and employment, social benefits and housing list characteristics.
The number of households starting HAP tenancies for the first time rose sharply from 420 in 2014 to 16,930 by 2017, before dropping slightly to 14,540 in 2019. The main household types entering a HAP tenancy in 2019 were a single person with one child (3,550) and a single person (3,180).
Dublin City, Fingal, South Dublin and Cork County had the largest numbers of new households in 2019 entering the HAP scheme. Dublin City had 498 households with a single person and one child and 458 with a single person. Fingal had 325 households with a single person and one child entering HAP, with 267 in South Dublin County and 226 in Cork County.
Data for years from 2014 to 2019, (available on Statbank table HAP01), shows that several local authorities – particularly those in Dublin – were not significantly involved in the early years of the HAP scheme as this was rolled-out on a phased basis.
The HAP dataset has been linked to data detailing persons and households on local authorities housing waiting lists to identify particular characteristics of HAP tenants prior to first entering the HAP scheme. This housing list data used here includes the SSHA (Summary of Social Housing Assessments) annual data relating to the years 2016 to 2019.
The waiting time from first application to a local authority housing waiting list to entering HAP was less than one year for 44.4% of those who were on a local authority housing list between 2016 and 2019. At the other end of the scale, 21.4% had a waiting time of five years or more.
Waiting Time | Percentage of Tenants |
---|---|
Up to 3 months | 17.5 |
3 - 6 months | 15.4 |
6 months - 12 months | 11.5 |
1 - 2 years | 11.1 |
2 - 3 years | 8.5 |
3 - 4 years | 7.8 |
4 - 5 years | 6.9 |
5 - 7 years | 9.7 |
More than 7 years | 11.7 |
The basis of need identified on the housing lists was examined for HAP tenants. The main basis of need for HAP, (for those tenants who could be linked to the housing waiting lists), were unsuitable household circumstances (40.2%) and dependence on rent supplement (38.7%).
Basis of Need | Percentage of Tenants |
---|---|
Unsuitable: Particular Household Circumstances | 40.2 |
Currently Dependent on Rent Supplement | 38.7 |
Involuntary sharing | 7 |
Disability Requirement | 4.1 |
Homeless, Institution, Emergency Accommodation or Hostel | 3.3 |
Overcrowded accommodation | 3.3 |
Exceptional Medical or Compassionate Grounds | 1.8 |
Unfit Accommodation | 1.2 |
Concluded that mortgage is unsustainable | 0.5 |
Just over nine in ten (91.0%) of the HAP tenants who were linked to a housing list had a ‘General’ classification of need, ie., they had no specific accommodation requirements. About three in 100 were homeless (3.4%) or were enduring physical, sensory, mental health or intellectual impairment (3.0%).
Classification of Need | Percentage of Tenants |
---|---|
General | 91 |
Homeless | 3.4 |
Enduring physical, sensory, mental health or intellectual impairment | 3 |
Elderly: Aged 65 years or more | 1.2 |
Traveller | 1.1 |
Exceptional medical grounds | 0.3 |
About three-quarters (75.7%) of HAP tenants who were linked to the net housing waiting lists from 2016 to 2019 were in ‘Private Rental Accommodation’. Rent Supplement was held by 37.4% of HAP tenants while 38.3% had no Rent Supplement.
The text above was amended on 10 February 2021 to reflect the data contained in Figure 1.4 and Table 1.3. |
---|
Tenure Type | Percentage of Tenants |
---|---|
Private rented accommodation (without rent supplement) | 38.3 |
Private rented accommodation (with rent supplement) | 37.4 |
Living with parents | 10.9 |
Emergency Accommodation/none | 4.5 |
Living with relatives | 3.5 |
Other | 2.6 |
Living with friends | 1.7 |
Owner occupier | 0.6 |
Institution | 0.3 |
Rough sleeper with no accommodation | 0.1 |
The housing list has also been examined from a different angle to determine whether there are any particular type of households who are more likely to later go into HAP tenancies. The 2016 net housing list (see definition of net list in Background Notes and Methodology) has been used as the base of the analysis for this and identifying those who enter HAP after the date of this list and prior to the end of 2019. As a reference, 26.1% of households on the 2016 net list later enter HAP tenancies.
Four in ten (39.7%) of those on the 2016 housing lists who were waiting less than three months later entered a HAP tenancy while just over three in ten (31.6%) waiting between three and six months did so too. For those waiting seven years or more, 15.9% later entered HAP tenancies.
Waiting Time | Percentage in HAP |
---|---|
Up to 3 months | 39.7 |
3 - 6 months | 31.6 |
6 - 12 months | 27 |
1 - 2 years | 27.9 |
2 - 3 years | 26.4 |
3 - 4 years | 25.9 |
4 - 5 years | 23.7 |
5 - 7 years | 22.1 |
More than 7 years | 15.9 |
Just over one in four of those on the housing waiting lists in 2016 and whose basis of need was dependence on Rent Supplement (28.9%) or unsuitable household circumstances (25.5%) moved into a HAP tenancy. Only 14.6% of those whose basis of need was ‘Homeless, Institution, Emergency Accommodationor Hostel’ moved into a HAP tenancy.
Basis of Need | Percentage in HAP |
---|---|
Currently Dependent on Rent Supplement | 28.9 |
Unsuitable: Particular Household Circumstances | 25.5 |
Overcrowded accommodation | 22.4 |
Unfit Accommodation | 18.1 |
Disability Requirement | 17.7 |
Exceptional Medical or Compassionate Grounds | 17.5 |
Involuntary sharing | 16.7 |
Concluded that mortgage is unsustainable | 14.8 |
Homeless, Institution, Emergency Accommodation or Hostel | 14.6 |
One in four (25.7%) of those with a general classificaiton of need on the 2016 housing waiting list subsequently entered HAP. The next highest proportion entering HAP was 17.4% for those with enduring physical, sensory, mental health or intellectual impairment.
Classification of Need | Percentage in HAP |
---|---|
General | 25.7 |
Enduring physical, sensory, mental health or intellectual impairment | 17.4 |
Homeless | 15.2 |
Traveller | 14.7 |
Elderly: Aged 65 years or more | 13.3 |
Exceptional medical grounds | 8.5 |
The tenure type on the 2016 housing waiting list most likely to go into HAP tenancies are those living in private rented accommodation with a rent supplement (30.8%), followed by those without a rent supplement (25.5%). The lowest proportions entering HAP were among those living in an institution (10.4%) or owner-occupiers (10.5%). See Figure 1.8.
Table 1.4 below contains the data shown in Figures 1.5 to 1.8, percentage entering HAP from the 2016 housing waiting lists by waiting time, basis of need, classification and tenure.
Tenure Type | Percentage in HAP |
---|---|
Private rented accommodation (with rent supplement) | 30.8 |
Private rented accommodation (without rent supplement) | 25.5 |
Living with friends | 20.6 |
Rough sleeper with no accommodation | 16.5 |
Living with parents | 16.3 |
Living with relatives | 16.1 |
Emergency Accommodation/none | 14.8 |
Other | 12.6 |
Owner occupier | 10.5 |
Institution | 10.4 |
The median annual household earned income in 2015 was €8,982 for households entering HAP in 2015 and with at least one person in employment. By 2018, tthis had risen to €13,816. See Background Notes and Methodology for explanation of earned income.
In 2015, 35.5% of households entering HAP had some PAYE employment and by 2018 this had risen to 53.9%. The proportion with some self-employment was very small in both 2015 (1.7%) and 2018 (2.9%).
The data within this graph - and by each local authority - can be found in statbank table HAP02.
Year | % in PAYE Employment | % Self-employed | 75th Percentile Earned Income (inflation adjusted) | 25th Percentile Earned Income (inflation adjusted) | Median Earned Income (inflation adjusted) |
---|---|---|---|---|---|
2015 | 35.5 | 1.7 | 16528 | 3856 | 8982 |
2016 | 38.7 | 2.2 | 19192 | 4424 | 10168 |
2017 | 47.8 | 2.5 | 22250 | 5728 | 12414 |
2018 | 53.9 | 2.9 | 24193 | 6539 | 13816 |
About one in five (19.3%) households who started in HAP in 2018 and had some earnings in that year had an income of less than €5,000. Just over half (53.1%) earned less than €15,000 while 3.7% earned over €40,000. This data for 2015 to 2018 can be found in statbank table HAP03.
Income Group | Percentage in Income Group |
---|---|
Up to €4,999 | 19.3 |
€5,000-€9,999 | 17.8 |
€10,000-€14,999 | 16 |
€15,000-€19,999 | 12.1 |
€20,000-€24,999 | 11.5 |
€25,000-€29,999 | 8.8 |
€30,000-€34,999 | 6.9 |
€35.000-€39,999 | 3.8 |
€40,000-€44,999 | 2.2 |
€45,000-€49,999 | 0.8 |
€50,000 and above | 0.7 |
The percentage of households with some employment in the year starting in HAP in 2018 was above 62% in the four Dublin local authorities, Kildare and Cork City. The highest rates were 70.6% in Dun Laoghaire-Rathdown followed by 68.1% in Fingal while the lowest rates were in Leitrim (28.8%), Roscommon (33.8%) and Mayo (34.2%). The data within this map, for years 2015 to 2018, can be found in statbank table HAP02.
The median household earned income for HAP entrants in 2018 was highest in Cork City (€19,145), Meath (€18,606) and Fingal (€17,374) and lowest in Mayo (€7,842), Leitrim (€8,471) and Carlow (€8,796). The data within this map, for years 2015 to 2018, can be found in statbank table HAP02.
The Wholesale and Retail trade sector accounted for 20.5% of all working HAP tenants compared with 13.4% of all people at work in Ireland. Accommodation and Food Service Activities was the next highest sector for HAP tenants at 16.6%, more than double the national proportion of 7.9%.
NACE_Sector | HAP Tenants | All in Employment |
---|---|---|
Agriculture, Forestry and Fishing (A) | 1 | 4.7 |
Industry (B, C, D & E) | 8.3 | 12.4 |
Construction (F) | 4.3 | 6.4 |
Wholesale and Retail Trade (G) | 20.5 | 13.4 |
Transportation and Storage (H) | 3.1 | 4.3 |
Accommodation and Food Service Activities (I) | 16.6 | 7.9 |
Information and Communication (J) | 1.8 | 5.2 |
Financial and Real Estate (K & L) | 2.8 | 4.9 |
Professional, Scientific and Technical Activities (M) | 2.9 | 6.2 |
Administrative and Support Service Activities (N) | 14.6 | 4.6 |
Public Administration and Defence (O) | 2.8 | 4.6 |
Education (P) | 2.5 | 7.5 |
Human Health and Social Work Activities (Q) | 12.1 | 12.7 |
Other NACE Activities (R, S, T & U) | 6.8 | 5.2 |
The proportion of working persons entering HAP and who worked in Accommodation and Food Service Activites dropped from 18.7% in 2015 to 16.3% in 2019 while the proportion working in Human Health and Social Work Activities rose from 11.4% to 15.2% over the same time period. This data can be found in statbank table HAP04.
NACE | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|
Agriculture, Forestry and Fishing (A) | 1.8 | 1 | 1.1 | 1 | 0.7 |
Industry (B, C, D & E) | 9.3 | 8.4 | 8.4 | 8.3 | 7.2 |
Construction (F) | 4.1 | 5.3 | 4.3 | 4.3 | 3.9 |
Wholesale and Retail Trade (G) | 21.2 | 20.3 | 20.3 | 20.5 | 19.1 |
Transportation and Storage (H) | 3.1 | 2.9 | 3.3 | 3.1 | 3.1 |
Accommodation and Food Service Activities (I) | 18.7 | 18.1 | 16.7 | 16.6 | 16.3 |
Information and Communication (J) | 1.2 | 1.4 | 1.6 | 1.8 | 2 |
Financial and Real Estate (K & L) | 2.5 | 2 | 2.8 | 2.8 | 4 |
Professional, Scientific and Technical Activities (M) | 2.6 | 2.5 | 2.7 | 2.9 | 2.8 |
Administrative and Support Service Activities (N) | 11.9 | 13.4 | 14 | 14.6 | 13.1 |
Public Administration and Defence (O) | 2.1 | 3 | 2.5 | 2.8 | 2.5 |
Education (P) | 2.7 | 2.8 | 3.1 | 2.5 | 2.8 |
Human Health and Social Work Activities (Q) | 11.4 | 12.3 | 12.6 | 12.1 | 15.2 |
Other NACE Activities (R, S, T & U) | 7.3 | 6.8 | 6.6 | 6.8 | 7.2 |
There was a marked decrease from 51.4% to 37.3% in the proportion of households on working-age income supports between 2015 and 2019, (including unemployment benefit and assistance), in the year they entered HAP. See Figure 1.13.
The percentage of households claiming Children related supports, (including Child Benefit), in the year they entered HAP rose from 48.9% in 2015 to 57.8% in 2018 before dropping to 54.4% in 2019. This data - and by local authority - can be found in statbank table HAP05.
dsp_group | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|
Children Related Support | 48.9 | 52.6 | 55.9 | 57.2 | 54.4 |
Illness, Disability and caring Support | 15.7 | 18.3 | 18.2 | 18 | 18 |
Other Supplementray Support | 3.5 | 4.5 | 4.4 | 4.6 | 3.9 |
Pension Support | 2.2 | 2.5 | 2.7 | 2.6 | 2.8 |
Working-Age Employment Support | 0.8 | 1.6 | 1.6 | 1.3 | 1 |
Working-Age Income Support | 51.4 | 48.2 | 42 | 38.8 | 37.3 |
More than 30% of people starting HAP for the first time had been in receipt of rent supplement in the 90 days before starting in HAP in both 2015 and 2016, see Figure 1.14. This proportion dropped over the next few years to 16.3% in 2019 as more people have entered HAP, instead of rent supplement, and the numbers receiving the rent supplement have dropped. Data from this graph can be found in statbank table HAP06.
Start Year | Percentage of Tenants Coming from Rent Supplement |
---|---|
2015 | 32 |
2016 | 31.1 |
2017 | 23.6 |
2018 | 19.1 |
2019 | 16.3 |
The proportion of new HAP households who have been referred from homeless services rose steadily from 3.1% in 2014 to 21.1% by 2019, see Figure 1.15. This data from this graph - and by local authority - can be found in statbank table HAP08.
Start Year | Percentage Referred from Homeless Services |
---|---|
2014 | 3.1 |
2015 | 5.8 |
2016 | 8.9 |
2017 | 13.2 |
2018 | 16 |
2019 | 21.1 |
Link to all interactive tables for this publication: Statbank
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