Agency Performance Assessment
-- using HUD FY2022 Performance Report as an Example

Performance evaluation is critical in an agency’s self-assessment and public monitoring process. It yields evidence of a government’s effectiveness, provides direction in budgeting and people management, and indicates public accountability. (Behn, 2003) This paper evaluates the FY2022 performance report of the Department of Housing and Urban Development (HUD) as an example of agency performance assessment, focusing on the alignment, effectiveness, and significance of the performance indicators as around the strategical goals.

Two strategic goals will be covered with in-depth assessment:

  • Strategic Goal #2: Ensure Access to and Increase the Production of Affordable Housing
  • Strategic Goal #4: Advance Sustainable Communities

1. Strategic Goal #2

Strategic Goal #2 has two objectives about housing supply and rental assistance. These two objectives directly address the strategic goal.

1.1 Alignment of indicators with the goal and objective

All the indicators under housing supply address the numbers of housing produced, and the programs/schemes are directly related to financial assistance. First, all the indicators have focused on the numbers of different types of housing units. The numbers of units provided to the tenants are directly related to HUD’s capacity in housing supply. A larger number of housing supply would benefit more target tenants who need assistance in owning or renting a place to live. Second, almost all indicators are measurements about the financial assistance HUD provides. Financial assistance serves as immediate paths to housing accessibility. The indicators are also about a good combination of the housing programs HUD provided – for example, MAP and Risk-Sharing construction/rehabilitation programs.

Similarly, the indicators under rental assistance also focus on the numbers and percentages. Three indicators – the occupancy rates, the utilization rates of housing vouchers, and number of families served by rental assistance are closely related to the performance of rental assistance programs. The other two indicators on housing physical inspections for public housing and non- compliant multifamily properties further address the quality of living, safety, and health, therefore would go along with the goal by adding additional spectrum of the impact from affordable housing, which is in alignment with the strategic goal.

1.2 Effectiveness and meaningfulness of the indicators

Overall, HUD presents the set of housing programs in the report and has concrete records to prove their performance. The indicators are relevant and trustworthy. Take the below indicator as an example, the number of market units has track records throughout the years dated back to FY18. The type of market-rates units is clearly explained as defined by the legal clause. The indicators are trustworthy with constant source, precise definition, and the pattern of evolvement looks real. The indicator also closely addresses the issue of housing supply. The indicator is able to manifest the performance challenge: both the market-rate sector and the affordable sector are not performing impressively during the COVID years; only the affordable sector met the target. Similar observation applies to other indicators under this objective, including the number of housing units protected by FHA multifamily mortgage insurance, the number of units under rental assistance demonstration for FHA, the number of units under the HOME partnership program, etc. Some other indicators show some extent of growth in FY22, which seem authentic and convincing. It’s worth noting that FY22’s actual supply outperformed its target; however, the target is way below the historical targets. By comparing to the historical supply, FY22 underperforms in the housing supply under HOME partnership programs. However, there is no further explanation here about the rationale behind target setting. This seems to be alluded to in the previous context from reading the report, that HUD has been facing the challenge with affordable housing supply – the annual target adjustment indicates the acknowledgement of the hardship.

The performance report also formatted indicators followed by a table detailing the description of the indicator, related legal clause, data source, measurement unit, method, evaluation on data quality, and verification. This is an all-round self-evaluation mechanism. With sufficient information provided, this mechanism could improve evidence-building and thus enhance the convincingness and effectiveness of indicators.

Although the set of performance indicators highlights the properties and programs HUD provides, in terms of the depth and effectiveness, it would have taken a step forward to measure the substantial impact. With the increase in housing supply numbers, do all the programs help improve the situation for most tenants who need assistance? Have the tenants obtained long-term housing security? To answer these questions, the measure may need to go beyond the simple snapshots of current housing supplies – it requires accumulative records of the measure over a period, as well as multiple tracks of indicators to manifest the substantial changes. In this way, the indicators would reveal whether HUD’s policy instruments generate positive impact on the ongoing housing crisis, and whether the structural disparities of housing supply and accessibility have been alleviated.

Similarly, on rental assistance, indicators of occupation rates, housing voucher utilization, and number of families served provide a snapshot of the current situation. Other aspects mentioned in the evidence section have not been developed into indicators. Such aspects include providing assistance with poorly performing multifamily tenants, improving the communities’ accessibility and connectivity to major locations, etc. Indicators would be further developed and enriched to measure the advancement in the quality of living. Again, in order to unveil the substantial impact on the overall situation of the population who needs rental assistance, more statistics on the overall percentage increase, and details about specific aspects of long-term benefits would be helpful.

2. Strategic Goal #4

Goal #4 is newly drafted since 2021 when Biden addressed environment resilience and justice in his President Executive Order, therefore, the indicators only show records starting FY21/22. Goal #4 address two pillars: climate resilience and environmental equity.

2.1 Alignment of indicators with the goal and objective

In general, this part has indicators rooted in the national greenhouse gas emission goals, green building standards, disaster resilience funding programs. Despite being relevant, the set of indicators has yet touched on the large major aspects in the spirit of environmental justice – a well-round set of measurements is yet to be developed to match the broad goal.

The indicators under climate resilience are relevant in general, gathering evidence including the action plan accomplishment, disaster resilience, and energy efficiency in the housing programs. Indicators under environmental equity, however, have been framed with a focus on home safety, along with the percentage of the action plan accomplishment, and remediation investment. With the advocacy of justice for underserved populations, in particular low-income households and communities of color, existing indicators have yet to address such elements.

2.2 Effectiveness and meaningfulness of the indicators

As compared to affordable housing, indicators under this goal are not solid, supported by vague descriptions of the methodologies. Such ambiguity might be due to the lack of evidence – thinking of the process and time required to build up environmental track records. It’s also under the impression that the measurements are put together in a rushed manner.

For example, the GHG emission targets, as of 32%, 80%, 92% seem ambitious, especially for FY23. This big leap forward might align with the national GHG goals, but it is questionable on the feasibility side. Environmental justice is even harder to substantiate and measure. Contrast to the affordable housing objectives, in the sub-metric table (below), description comes in vague terms, data source is simply presented as “multiple”, “research and technical contracts”, and “identified programs” in the first indicator – language like this fails to provide information about data source and methodolgy.

The report puts two major indicators: the number of at-risk housing units (lead-safe), the percentage in terms of achieved Climate Action Plan, and federal dollar spent in remediation. The indicators are vague and questionable. At-risk housing units and lead safety are more relevant to safety issues and may be more relevant to the Goal 1 under housing justice. The percentage of achievement in the climate action plan has been used both to measure climate resilience and environmental justice. However, using percentage to measure a policy plan on climate issues sounds questionable. There is no elaboration of methodologies illustrating how such achievement of multifaceted policy instruments come to be normalized. The report does mention “counts” of action items – however the measurement could be more reliable if the methodology weigh the items based on policy priorities, and better elaborate the definition of “completeness” of action items.

As contrast to the affordable housing objectives, the language with environmental targets is vague with many broad terms. This is an example of a common tactic used by an agency with performance objectives - government officials lack motivation in providing clearly defined performance targets, “because objectives are open to constant interpretation and reinterpretation at every stage of the policy process”. Ambiguous objectives leave wiggle room for further interpretation therefore help to alleviate public criticism and the chance of failing the objective. (Behn, 2003; Joyce, 1997) However, such efforts alleviate the effectiveness of an objective in providing pointers of the policy progress, problem improvement, and the overall achievement the agency performed. (Behn, 2003)

3. Conclusion

Under Goal #2, the indicators and measures align with the objectives. The indicators successfully depict the performance patterns in recent years: with steady affordable housing supply, decreased market-sector units and all other housing programs, HUD has slowed down in affordable housing supply, as negatively impacted by COVID.

Goal #2 has been implemented and evaluated in a pragmatic manner with evidence of specific numbers and facts HUD achieved. The evidence mostly shows the snapshot of one year’s achievement – indicators could be further developed to unveil the substantial impact on the low-incomed and underserved groups’ living condition. Such impacts might be tactically hidden considering the hardship HUD has been going through with COVID in terms of housing supply. It could be an even bigger challenge for HUD to alleviate the structural disparities in housing accessibility for lower-income population and underserved population.

Goal #4, as comparison, appears to have spent more brushstrokes on the political narrative than the actual measurable incidents. Some of the indicators under Goal #4 are hard to unpack based on the information provided in the performance report.

The environmental indicators are underdeveloped, although HUD frames environmental justice around housing safety and environmental hazard, more indicators should be formulated to better reveal the big picture of environmental justice – to showcase what HUD has done, and to what extent the efforts has changed the situation for the underserved communities. By using vague language, the agency can leave wiggle room for further interpretation about climate and environment agenda, and less prone to public criticism if policy results are not concrete or deviate from the goal.

Reference

Behn, Bob. (2003). Why Measure Performance? Different Purposes Require Different Measures. Public Administration Review 63(5): 586-606.5



This is the term paper of PubPol586 Performance Management at the University of Michigan. The paper was completed on an individual basis.