Key Takeaways
- California's extremely high rainfall in 2023 is continuing into 2024 but has not yet had a material effect on credit quality for cities and counties rated by S&P Global Ratings, although the longer-term effects on issuers could be more significant.
- Maintaining high levels of reserves and liquidity is, in our view, one way issuers can navigate the short-term effects of extreme weather events, in particular as FEMA reimbursement, if approved, can take months or even a year to arrive.
- As weather events become more frequent or severe, we have observed that cities and counties have prepared by evaluating stormwater infrastructure or installing flood gates or moveable walls to redirect water to protect municipal assets.
- S&P Global Ratings continues to monitor the effects of extreme weather events on the credit quality of California cities and counties by evaluating infrastructure, risk management, and finances on a case-by-case basis.
California has begun another year with extremely high rainfall and widespread flooding. We view these rain events as a chronic physical risk and factor them into our rating analysis when it could materially affect an issuer's credit fundamentals. However, while the rain in 2024 has been unrelenting up to this point, so far we do not see it having an immediate effect on California local governments' credit quality. We will continue to monitor rainstorms and their related damage, as compounding events could pressure reserves and liquidity over time and affect long-term credit quality.
Natural disasters, including intense rainstorms that lead to flooding, mudslides, and property damage, can have a severe financial impact on municipalities, which may need to tap into emergency reserves or other available general fund liquidity to cover unexpected expenses, including for damage to facilities, streets, and infrastructure or for overtime costs for personnel that support cleanup and recovery efforts. While some costs may eventually be reimbursed by extraordinary aid from the state or the Federal Emergency Management Agency (FEMA), the initial outlay will likely come from available reserves. Furthermore, receipt of reimbursement can vary from a few months to 12 months or longer. These liquidity pressures immediately following an exogenous shock highlight the importance of maintaining sufficient reserves and liquidity in the short term to cover operations and debt service payments. An in-depth view of California issuers that we rate and their respective reserve positions is shown in Tables 1 and 2.
Flood Insurance Coverage Is Not Universal, Increasing The Importance Of Liquidity
California counties, cities, and school districts are not required to purchase flood insurance, although they may be covered under FEMA's National Flood Insurance Program (NFIP). Some municipalities, particularly those in flood-prone areas and designated flood zones, opt to purchase insurance, while many do not given the high and increasing premiums. We view insurance coverage as one form of financial buffer that can help offset costs associated with extreme weather. In the absence of insurance, we could consider higher reserves and liquidity as a good risk-management practice to fill the gap between initial expenditure outlays and FEMA reimbursements.
Despite The Continued Extreme Rainfall, California Counties Remain Financially Well Positioned To Absorb Near-Term Costs
In late January, a storm caused historical levels of flooding in California, primarily in Los Angeles County (AAA/Stable), San Diego County (AAA/Stable) and the city of San Diego (AA/Stable). Subsequent heavy rainstorms in the form of an atmospheric river hit the southern portion of the state beginning on Feb. 4. This system was similar to an event in 2023. A third storm system began affecting California on Feb. 20, and we are monitoring how flood damage and its compounding effects could affect municipalities that we rate in this region.
In early February 2024, California's governor declared a state of emergency in eight counties, primarily in southern California, in response to the severe rainfall, namely Los Angeles, Orange, Riverside, San Bernardino, San Diego, San Luis Obispo, Santa Barbara, and Ventura. S&P Global Ratings has ratings on all eight counties (Table 1) and on 122 cities within them, nearly all of which maintain very strong reserves and liquidity (Table 2). Generally, strong reserves and liquidity are sufficient to absorb the short-term financial effects of a disaster. However, when multiple events occur in close succession, as has happened recently, the financial stress may be more material to the issuer's credit profile.
Table 1
Counties with declared states of emergency | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Reserve stress (10%)* | ||||||||||||||||||||
Obligor | Rating | Appropriation rating | Outlook | Liquidity ($'000s) | Liquidity (% debt service) | Reserves ($'000s) | Reserves (% expenditures) | Reserves ($'000s) | Reserves (% expenditures) | |||||||||||
Los Angeles County, CA | AAA | AA+ | Stable | 17,069,188 | 3,455.6 | 5,309,269 | 21.6 | 4,778,342 | 19.4 | |||||||||||
Orange County, CA | AA+ | AA | Stable | 4,686,529 | 2,540.2 | 1,425,624 | 35.0 | 1,283,062 | 31.5 | |||||||||||
Riverside County, CA | AA | AA- | Stable | 2,191,180 | 1,042.0 | 670,437 | 16.8 | 603,393 | 15.1 | |||||||||||
San Bernardino County, CA | AA+ | AA | Stable | 4,756,524 | 2,633.2 | 928,532 | 29.5 | 835,679 | 26.6 | |||||||||||
San Diego County, CA | AAA | AA+ | Stable | 4,070,802 | 2,128.4 | 1,009,970 | 19.1 | 908,973 | 17.2 | |||||||||||
San Luis Obispo County, CA | AA+ | Stable | 759,723 | 4,460.6 | 190,037 | 33.5 | 171,033 | 30.1 | ||||||||||||
Santa Barbara County, CA | AA+ | Stable | 778,371 | 10,762.9 | 57,658 | 13.7 | 51,892 | 12.3 | ||||||||||||
Ventura County, CA | AAA | AA+ | Stable | 1,738,394 | 10,403.9 | 240,826 | 20.4 | 216,743 | 18.4 | |||||||||||
*Reflects a potential 10% decrease in reserves if FEMA covered 90% of storm expenditures. Source: S&P Global Ratings. |
January 2023 Atmospheric River Update: Tulare County
California municipalities are quickly becoming accustomed to extreme weather events, the potential associated damage, and the subsequent financial costs. For example, Tulare County (AA-/Stable) experienced flooding and infrastructure damage following storms in January 2023, including to its roads and bridges, which required emergency repair. Based on the county's fiscal 2023 audited results, an unbudgeted increase of about $13.4 million, or 28% in general government spending, was related to these storm costs. The county identified approximately 225 locations that sustained damage, much of it street infrastructure. Given the magnitude of damage, the county applied for, and received, FEMA disaster relief funding, and the vast majority of affected sites were repaired over several months, with only a handful remaining to be fully repaired. Despite the unplanned event, the county's general fund reserves and liquidity levels increased in fiscal 2023 to $132 million, or approximately 15% of general fund expenditures. Total governmental cash and investments reached approximately $850.7 million, or 77% of total governmental fund expenditures, in fiscal 2023.
Flooding Events Are Unlikely To Abate And Could Require Additional Operational And Financial Preparedness
According to the World Meteorological Organization, there is now a 66% probability that the global temperature will exceed the 1.5-degree Celsius Paris Agreement threshold over the next five years. S&P Global Ratings believes that surpassing this threshold could result in more frequent and severe physical climate hazards, such as heatwaves, floods, storms, and wildfires. S&P Global Sustainable1's Climate Change Physical Risk dataset shows increased exposure to flooding for California's counties over the next 30 years (chart 1). The data provide insight into the change in probability that flooding from extreme rainfall could occur more frequently than a 100-year flooding event. The scenarios reflect Shared Socioeconomic Pathways from the Intergovernmental Panel on Climate Change and incorporate broad changes in socioeconomic systems that reflect a set of scenarios for projected greenhouse gas emissions and temperature changes. The chart presents findings for the 2020s and 2050s under SSP3-7.0, a moderate-high-emissions scenario that implies a global average temperature rise of 2.8 to 4.6 degrees Celsius by 2100 compared with the pre-industrial period. The data show that, over the 30-year period, the expected frequencies of severe rainfall events will increase for California counties, in some cases by 30% or more, indicating that flooding could become an increasingly difficult risk to manage, absent adaptation.
In our view, adaptation may include all or some of the following: bolstering finances to ensure continuity of operations following an acute event or disruption, evaluating stormwater infrastructure to address increasing flood waters, or installing flood gates or moveable walls to redirect water to protect exposed buildings and other municipal assets. We believe adaptation falls under risk-management efforts that could help stabilize credit quality for issuers that face climate hazards.
Evaluating The Credit Impact On A Case-By-Case Basis
S&P Global Ratings evaluates the potential credit rating impact from acute events on a case-by-case basis. Our approach includes asking questions of management teams to help us evaluate the breadth and depth of any potential operational, financial, and economic impacts. Our goal is to balance the management team's priorities of addressing the health and safety of the community following the event with our obligation to communicate with market participants on any potential credit rating impacts. The severity of an event may influence our ability to reach management teams and it might take several weeks or months for management teams to fully evaluate damage or property loss.
Depending on the type of extreme weather event, we monitor the path or location and begin identifying potentially affected issuers. This can sometimes be challenging given the unpredictable nature of certain climate hazards such as flooding and wildfires. Once the initial impact occurs, we monitor for declared states of emergency and consider the overall magnitude and duration of the event. We typically prioritize contacting issuers according to our view of potential credit rating vulnerability during the emergency response and recovery efforts, such as risk management practices and financial flexibility.
Based on the above triage, S&P Global Ratings analysts contact select issuers and ask the following questions:
Economic:
- Has there been material damage to the property tax base from this event?
Infrastructure:
- How does current infrastructure protect developed areas from storm runoff?
- Are there critical facilities (such as hospitals, schools, fire and police stations, and corporation yards) located outside the flood areas to help maintain operations, if necessary?
Risk management:
- How do local, regional, and state entities in your area coordinate the emergency response or flood management activities following an event? Is the coordination plan regularly reviewed after events to determine effectiveness or improvements?
- What entity manages the flood control infrastructure that protects the city/county?
- What is the nature of your coordination, if any, with other emergency or flood management agencies?
- Do you maintain flood insurance?
- What other flood protection measures, if any, has your entity implemented that limit flooding/landslide risks?
- Do you have personnel on staff that are knowledgeable about FEMA record-keeping and reimbursement procedures?
Financial:
- What are the estimated clean-up costs?
- Do you anticipate contacting FEMA for any event-related expenditure reimbursement?
The answers to the above questions help us evaluate:
- Aggregate impacts on the insurance market and costs within the state.
- Management of aging storm water infrastructure and investment in adaptation projects.
Table 2
Cities located within the eight counties with declared states of emergency | ||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Reserve stress (10%)§ | ||||||||||||||||||||||
Obligor | County | Rating | RLOC rating* | Outlook | Liquidity ($'000s) | Liquidity (% debt service) | Reserves ($'000s) | Reserves (% expenditures) | Reserves ($'000s) | Reserves (% expenditures) | ||||||||||||
Agoura Hills, CA | Los Angeles | AA+ | Stable | 24,880 | 2,261.6 | 13,564 | 69.0 | 12,208 | 62.1 | |||||||||||||
Alhambra, CA | Los Angeles | AA+ | AA | Stable | 99,473 | 3,357.6 | 34,316 | 47.6 | 30,884 | 42.8 | ||||||||||||
Aliso Viejo, CA | Orange | AA+ | Stable | 41,713 | 6,263.2 | 34,371 | 157.0 | 30,934 | 141.3 | |||||||||||||
Anaheim, CA | Orange | A+ | Stable | 735,790 | 1,295.8 | 80,807 | 14.5 | 72,726 | 13.1 | |||||||||||||
Arcadia, CA | Los Angeles | AAA | AAA | Stable | 78,308 | 1,702.7 | 47,466 | 92.3 | 42,719 | 83.0 | ||||||||||||
Atascadero, CA | San Luis Obispo | AA- | Stable | 38,333 | 6,136.7 | 24,730 | 113.2 | 22,257 | 101.8 | |||||||||||||
Azusa, CA | Los Angeles | AA- | Stable | 60,740 | 2,409.2 | 47,251 | 104.1 | 42,526 | 93.7 | |||||||||||||
Baldwin Park, CA | Los Angeles | AA- | Stable | 68,121 | 915.6 | 11,347 | 35.4 | 10,212 | 31.8 | |||||||||||||
Barstow, CA | San Bernardino | A+ | Stable | 68,596 | 1,849.4 | 16,677 | 39.2 | 15,009 | 35.3 | |||||||||||||
Bell Gardens, CA | Los Angeles | A+ | Stable | 50,726 | 5,429.3 | 25,060 | 73.6 | 22,554 | 66.2 | |||||||||||||
Bell, CA | Los Angeles | A | Stable | 33,352 | 975.0 | 18,153 | 103.3 | 16,338 | 93.0 | |||||||||||||
Bellflower, CA | Los Angeles | AA- | Stable | 59,086 | 3,895.2 | 30,917 | 90.5 | 27,825 | 81.4 | |||||||||||||
Beverly Hills, CA | Los Angeles | AAA | AA+ | Stable | 268,437 | 4,497.8 | 80,654 | 31.9 | 72,589 | 28.7 | ||||||||||||
Brea, CA | Orange | A- | Stable | 76,920 | 23,544.1 | 37,277 | 56.2 | 33,549 | 50.6 | |||||||||||||
Buena Park CA | Orange | AA | Stable | 82,631 | 14,746.4 | 50,411 | 68.9 | 45,370 | 62.0 | |||||||||||||
Burbank, CA | Los Angeles | AAA | Stable | 232,518 | 20,490.2 | 117,482 | 65.5 | 105,734 | 59.0 | |||||||||||||
Calabasas, CA | Los Angeles | AA+ | Stable | 41,323 | 1,781.5 | 20,380 | 93.0 | 18,342 | 83.7 | |||||||||||||
Camarillo, CA | Ventura | AA+ | Stable | 48,541 | 47,989.8 | 72,940 | 195.1 | 65,646 | 175.6 | |||||||||||||
Carlsbad, CA | San Diego | AAA | AA+ | Stable | 227,922 | 4,487,616.7 | 158,927 | 163.4 | 143,034 | 147.1 | ||||||||||||
Carson, CA | Los Angeles | AA- | Stable | 139,694 | 2,541.4 | 195,494 | 173.4 | 175,945 | 156.1 | |||||||||||||
Cathedral City, CA | Riverside | A+ | Stable | 106,974 | 1,215.8 | 36,043 | 65.5 | 32,439 | 58.9 | |||||||||||||
Cerritos, CA | Los Angeles | AAA | AA+ | Stable | 80,800 | 5,377.1 | 107,783 | 197.6 | 97,005 | 177.8 | ||||||||||||
Chula Vista, CA | San Diego | AA- | Stable | 333,028 | 1,667.2 | 100,641 | 46.8 | 90,577 | 42.1 | |||||||||||||
Claremont, CA | Los Angeles | AAA | Stable | 40,182 | 3,574.5 | 7,925 | 28.2 | 7,133 | 25.4 | |||||||||||||
Coachella, CA | Riverside | A+ | Stable | 38,417 | 2,173.4 | 17,460 | 73.5 | 15,714 | 66.1 | |||||||||||||
Colton, CA | San Bernardino | A | A- | Stable | 56,161 | 5,223.7 | 11,473 | 25.6 | 10,326 | 23.1 | ||||||||||||
Commerce, CA | Los Angeles | A+ | Stable | 92,158 | 7,135.3 | 57,281 | 100.3 | 51,553 | 90.3 | |||||||||||||
Corona, CA | Riverside | AA | Stable | 446,486 | 1,832.7 | 103,483 | 26.5 | 93,135 | 23.8 | |||||||||||||
Costa Mesa, CA | Orange | AA+ | Stable | 164,794 | 4,773.1 | 43,111 | 30.8 | 38,800 | 27.7 | |||||||||||||
Covina, CA | Los Angeles | AA | Stable | 105,645 | 2,647.7 | 22,432 | 49.0 | 20,189 | 44.1 | |||||||||||||
Desert Hot Springs, CA | Riverside | A+ | Stable | 36,869 | 1,155.5 | 1,780 | 15.9 | 1,602 | 14.3 | |||||||||||||
Diamond Bar, CA | Los Angeles | AA+ | Stable | 27,113 | 8,924.8 | 29,874 | 127.3 | 26,887 | 114.5 | |||||||||||||
Downey, CA | Los Angeles | AA- | Stable | 147,676 | 1,138.3 | 46,580 | 45.0 | 41,922 | 40.5 | |||||||||||||
El Cajon, CA | San Diego | AA | Stable | 101,176 | 1,823.1 | 44,355 | 58.0 | 39,920 | 52.2 | |||||||||||||
El Monte, CA | Los Angeles | A | Stable | 122,887 | 1,621.2 | 30,355 | 38.0 | 27,320 | 34.2 | |||||||||||||
El Paso De Robles, CA | San Luis Obispo | AAA | Stable | 57,369 | 4,279.3 | 27,663 | 69.5 | 24,897 | 62.6 | |||||||||||||
El Segundo, CA | Los Angeles | AAA | Stable | 74,998 | 4,821.8 | 36,197 | 55.2 | 32,577 | 49.7 | |||||||||||||
Encinitas, CA | San Diego | AAA | AA+ | Stable | 102,217 | 3,290.9 | 28,857 | 40.7 | 25,971 | 36.6 | ||||||||||||
Escondido, CA | San Diego | AA- | A+ | Stable | 148,948 | 3,633.2 | 14,692 | 12.7 | 13,223 | 11.4 | ||||||||||||
Fontana, CA | San Bernardino | AA | AA- | Stable | 276,236 | 5,509.1 | 111,282 | 82.2 | 100,154 | 74.0 | ||||||||||||
Fountain Valley, CA | Orange | AAA | AA+ | Stable | 69,136 | 6,315.7 | 53,465 | 84.5 | 48,119 | 76.0 | ||||||||||||
Fullerton, CA | Orange | AA- | Stable | 164,796 | 72,870.9 | 22,605 | 21.7 | 20,345 | 19.5 | |||||||||||||
Garden Grove, CA | Orange | AA | Stable | 160,633 | 22,782.7 | 122,973 | 91.7 | 110,676 | 82.5 | |||||||||||||
Gardena, CA | Los Angeles | A+ | Stable | 81,770 | 1,135.5 | 28,235 | 47.6 | 25,412 | 42.8 | |||||||||||||
Glendale, CA | Los Angeles | AA+ | AA | Stable | 369,085 | 20,318.4 | 74,169 | 29.6 | 66,752 | 26.6 | ||||||||||||
Glendora, CA | Los Angeles | AAA | Stable | 44,102 | 3,637.9 | 12,862 | 40.5 | 11,576 | 36.5 | |||||||||||||
Grover Beach, CA | San Luis Obispo | AA | Stable | 25,079 | 1,808.2 | 5,784 | 37.3 | 5,206 | 33.6 | |||||||||||||
Hawthorne, CA | Los Angeles | A+ | Stable | 110,537 | 1,064.1 | 78,747 | 108.7 | 70,872 | 97.9 | |||||||||||||
Hermosa Beach, CA | Los Angeles | AA+ | Stable | 48,934 | 8,163.7 | 17,926 | 43.9 | 16,133 | 39.5 | |||||||||||||
Hesperia, CA | San Bernardino | A+ | Stable | 54,437 | 2,403.5 | 24,712 | 65.6 | 22,241 | 59.0 | |||||||||||||
Huntington Beach, CA | Orange | AA | Stable | 298,835 | 1,229.3 | 61,454 | 26.5 | 55,309 | 23.9 | |||||||||||||
Indian Wells, CA | Riverside | AA | AA- | Stable | 45,418 | 7,075.5 | 21,281 | 104.4 | 19,153 | 93.9 | ||||||||||||
Indio, CA | Riverside | AA- | A+ | Stable | 97,741 | 3,642.8 | 58,448 | 79.3 | 52,603 | 71.4 | ||||||||||||
Inglewood, CA | Los Angeles | AA | AA- | Stable | 265,385 | 1,895.5 | 101,086 | 65.5 | 90,977 | 58.9 | ||||||||||||
Irvine, CA | Orange | AAA | AA+ | Stable | 398,271 | 4,744,996.0 | 177,228 | 79.9 | 159,505 | 71.9 | ||||||||||||
Jurupa Valley, CA | Riverside | AA- | Stable | 100,902 | 7,248.7 | 33,693 | 73.9 | 30,324 | 66.5 | |||||||||||||
La Habra, CA | Orange | AA+ | AA | Stable | 133,991 | 7,171.1 | 14,406 | 12.3 | 12,965 | 11.1 | ||||||||||||
La Mirada, CA | Los Angeles | AA+ | AA | Stable | 61,386 | 11,865.6 | 44,022 | 102.2 | 39,620 | 92.0 | ||||||||||||
La Puente, CA | Los Angeles | A+ | Stable | 36,533 | 2,300.1 | 15,916 | 95.4 | 14,324 | 85.9 | |||||||||||||
La Verne, CA | Los Angeles | AA+ | Stable | 52,957 | 1,915.1 | 14,087 | 34.3 | 12,678 | 30.9 | |||||||||||||
Laguna Hills, CA | Orange | AA+ | Stable | 27,124 | 835.8 | 13,666 | 63.1 | 12,299 | 56.8 | |||||||||||||
Lake Elsinore, CA | Riverside | A+ | Stable | 95,730 | 471.2 | 17,346 | 35.7 | 15,611 | 32.1 | |||||||||||||
Lake Forest, CA | Orange | AAA | AA+ | Stable | 61,774 | 127,527.8 | 107,821 | 196.2 | 97,039 | 176.6 | ||||||||||||
Lancaster, CA | Los Angeles | A | Stable | 206,065 | 2,372.7 | 46,739 | 42.2 | 42,065 | 38.0 | |||||||||||||
Long Beach, CA | Los Angeles | AA | AA- | Stable | 1,042,008 | 950.5 | 212,069 | 36.4 | 190,862 | 32.7 | ||||||||||||
Los Alamitos, CA | Orange | AAA | AA+ | Stable | 16,932 | 10,143.8 | 16,766 | 107.0 | 15,089 | 96.3 | ||||||||||||
Los Angeles, CA | Los Angeles | AA | AA- | Stable | 9,695,563 | 1,998.3 | 1,346,121 | 19.7 | 1,211,509 | 17.8 | ||||||||||||
Lynwood, CA | Los Angeles | A- | Stable | 59,059 | 1,568.1 | 30,721 | 104.4 | 27,649 | 93.9 | |||||||||||||
Malibu, CA | Los Angeles | AAA | AA+ | Stable | 40,704 | 2,588.4 | 69,089 | 179.1 | 62,180 | 161.2 | ||||||||||||
Manhattan Beach City, CA | Los Angeles | AAA | AA+ | Stable | 96,394 | 1,768.2 | 36,881 | 46.9 | 33,193 | 42.2 | ||||||||||||
Maywood, CA | Los Angeles | A+ | Stable | 17,762 | 561.3 | 14,474 | 91.3 | 13,027 | 82.2 | |||||||||||||
Mission Viejo, CA | Orange | AAA | AA+ | Stable | 92,882 | 1,838.1 | 39,259 | 51.3 | 35,333 | 46.2 | ||||||||||||
Monrovia, CA | Los Angeles | AA+ | AA | Stable | 68,932 | 585.0 | 23,145 | 48.9 | 20,831 | 44.0 | ||||||||||||
Montclair, CA | San Bernardino | A+ | Stable | 49,965 | 1,500.9 | 30,259 | 104.6 | 27,233 | 94.2 | |||||||||||||
Montebello, CA | Los Angeles | A+ | A | Stable | 85,414 | 611.4 | 9,844 | 15.5 | 8,860 | 14.0 | ||||||||||||
Monterey Park, CA | Los Angeles | AA | Stable | 77,391 | 1,213.3 | 19,156 | 36.5 | 17,240 | 32.9 | |||||||||||||
Moreno Valley, CA | Riverside | AA- | Stable | 189,718 | 7,881.9 | 66,826 | 80.2 | 60,143 | 72.2 | |||||||||||||
Murrieta, CA | Riverside | AA- | Stable | 120,847 | 2,045.5 | 40,654 | 65.2 | 36,589 | 58.7 | |||||||||||||
National City, CA | San Diego | AA- | AA- | Stable | 193,848 | 7,143.8 | 27,871 | 49.3 | 25,084 | 44.4 | ||||||||||||
Newport Beach, CA | Orange | AAA | AA+ | Stable | 279,607 | 2,885.4 | 83,303 | 39.6 | 74,973 | 35.6 | ||||||||||||
Norwalk, CA | Los Angeles | A+ | Stable | 93,159 | 4,067.4 | 24,258 | 45.2 | 21,832 | 40.7 | |||||||||||||
Oceanside, CA | San Diego | AA+ | AA | Stable | 260,984 | 7,393.9 | 73,005 | 40.5 | 65,705 | 36.5 | ||||||||||||
Ontario, CA | San Bernardino | AA- | Stable | 413,156 | 1,691.6 | 55,640 | 19.6 | 50,076 | 17.7 | |||||||||||||
Orange, CA | Orange | AA- | Stable | 188,792 | 823.1 | 24,351 | 19.0 | 21,916 | 17.1 | |||||||||||||
Oxnard, CA | Ventura | A+ | A | Stable | 248,726 | 4,050.3 | 26,125 | 15.3 | 23,513 | 13.8 | ||||||||||||
Palm Springs, CA | Riverside | AA+ | AA | Stable | 210,734 | 578.7 | 130,392 | 104.4 | 117,353 | 94.0 | ||||||||||||
Palmdale, CA | Los Angeles | AA- | A+ | Positive | 134,396 | 1,601.0 | 59,418 | 81.7 | 53,476 | 73.6 | ||||||||||||
Paramount, CA | Los Angeles | AA- | Stable | 62,059 | 27,456.4 | 29,389 | 87.4 | 26,450 | 78.7 | |||||||||||||
Pasadena, CA | Los Angeles | AAA | AA+ | Stable | 414,379 | 4,793.7 | 80,417 | 29.7 | 72,375 | 26.7 | ||||||||||||
Pico Rivera, CA | Los Angeles | AA- | Stable | 69,217 | 3,710.5 | 45,902 | 121.1 | 41,312 | 109.0 | |||||||||||||
Pismo Beach, CA | San Luis Obispo | AA+ | Stable | 37,462 | 10,285.8 | 36,531 | 157.5 | 32,878 | 141.8 | |||||||||||||
Placentia, CA | Orange | AA | AA- | Stable | 55,458 | 693.4 | 7,205 | 17.1 | 6,485 | 15.4 | ||||||||||||
Pomona, CA | Los Angeles | A+ | Stable | 191,674 | 1,491.0 | 49,579 | 42.2 | 44,621 | 38.0 | |||||||||||||
Poway, CA | San Diego | AA+ | Stable | 99,235 | 10,268.8 | 28,749 | 31.7 | 25,874 | 28.5 | |||||||||||||
Rancho Cucamonga, CA | San Bernardino | AA+ | AA | Stable | 184,597 | 1,123,933.3 | 31,683 | 35.2 | 28,515 | 31.7 | ||||||||||||
Rancho Santa Margarita, CA | Orange | AAA | AA+ | Stable | 24,539 | 4,871.2 | 29,936 | 156.8 | 26,942 | 141.1 | ||||||||||||
Redlands, CA | San Bernardino | AA+ | Stable | 88,506 | 8,785.5 | 80,481 | 80.9 | 72,433 | 72.8 | |||||||||||||
Redondo Beach, CA | Los Angeles | AA+ | AA | Stable | 311,183 | 2,251.5 | 20,699 | 23.8 | 18,629 | 21.4 | ||||||||||||
Rialto, CA | San Bernardino | AA- | Stable | 138,459 | 18,635.5 | 50,734 | 42.0 | 45,661 | 37.8 | |||||||||||||
Riverside, CA | Riverside | AA | AA- | Stable | 886,186 | 1,836.4 | 111,615 | 45.0 | 100,454 | 40.5 | ||||||||||||
San Buenaventura, CA | Ventura | AA | Stable | 154,498 | 7,154.5 | 35,641 | 29.8 | 32,077 | 26.8 | |||||||||||||
San Diego, CA | San Diego | AA | AA- | Stable | 2,935,378 | 1,041.7 | 206,982 | 9.7 | 186,284 | 8.7 | ||||||||||||
San Fernando, CA | Los Angeles | A+ | Stable | 65,406 | 2,479.8 | 10,224 | 53.8 | 9,202 | 48.4 | |||||||||||||
San Juan Capistrano, CA | Orange | AAA | Stable | 44,623 | 3,535.6 | 35,136 | 107.8 | 31,622 | 97.0 | |||||||||||||
San Luis Obispo, CA | San Luis Obispo | AA+ | AA | Stable | 110,057 | 9,145.1 | 21,099 | 24.4 | 18,989 | 21.9 | ||||||||||||
Santa Ana, CA | Orange | AA | AA | Stable | 898,094 | 2,473.2 | 168,937 | 51.7 | 152,043 | 46.6 | ||||||||||||
Santa Barbara, CA | Santa Barbara | AA | Stable | 202,744 | 77,547.4 | 42,005 | 28.6 | 37,805 | 25.8 | |||||||||||||
Santa Clarita, CA | Los Angeles | AAA | AA+ | Stable | 204,530 | 7,856.9 | 209,063 | 226.3 | 188,157 | 203.7 | ||||||||||||
Santa Monica, CA | Los Angeles | A++ | Stable | 463,649 | 7,272.4 | 183,038 | 48.0 | 164,734 | 43.2 | |||||||||||||
Signal Hill, CA | Los Angeles | AA | Stable | 28,799 | 7,887.5 | 23,102 | 92.8 | 20,792 | 83.5 | |||||||||||||
Simi Valley, CA | Ventura | AAA | AA+ | Stable | 85,070 | 7,658.3 | 44,281 | 63.2 | 39,853 | 56.8 | ||||||||||||
South Gate, CA | Los Angeles | A+ | Stable | 103,530 | 6,830.4 | 27,288 | 42.8 | 24,559 | 38.5 | |||||||||||||
Thousand Oaks, CA | Ventura | AA+ | Stable | 121,488 | 32,886.6 | 98,574 | 112.3 | 88,717 | 101.1 | |||||||||||||
Torrance, CA | Los Angeles | AA | Stable | 268,148 | 1,097.2 | 50,210 | 24.2 | 45,189 | 21.8 | |||||||||||||
Victorville, CA | San Bernardino | AA- | A- | Stable | 137,466 | 139,167.5 | 75,466 | 95.7 | 67,919 | 86.1 | ||||||||||||
Vista, CA | San Diego | AA- | Stable | 113,809 | 4,279.4 | 54,632 | 66.7 | 49,169 | 60.0 | |||||||||||||
West Covina, CA | Los Angeles | A+ | Stable | 120,630 | 816.4 | 20,770 | 33.5 | 18,693 | 30.2 | |||||||||||||
West Hollywood, CA | Los Angeles | AAA | AA+ | Stable | 152,235 | 1,880.9 | 127,937 | 124.9 | 115,143 | 112.4 | ||||||||||||
Whittier, CA | Los Angeles | AA | Stable | 236,518 | 2,176.3 | 81,697 | 42.5 | 73,527 | 38.3 | |||||||||||||
Yorba Linda, CA | Orange | AAA | AA+ | Stable | 75,304 | 967.7 | 10,722 | 24.0 | 9,650 | 21.6 | ||||||||||||
*RLOC = Ratings linked to obligor's creditworthiness. §Reflects a potential 10% decrease in reserves if FEMA covered 90% of storm expenditures. Source: S&P Global Ratings. |
This report does not constitute a rating action.
Primary Credit Analysts: | Li Yang, San Francisco + 1 (415) 371 5024; li.yang@spglobal.com |
Krystal Tena, New York + 1 (212) 438-1628; krystal.tena@spglobal.com | |
Secondary Contacts: | Daniel Golliday, Dallas 214-505-7552; daniel.golliday@spglobal.com |
Nora G Wittstruck, New York + (212) 438-8589; nora.wittstruck@spglobal.com | |
Bianca Gaytan-Burrell, Englewood + 303-721-4617; bianca.gaytan-burrell@spglobal.com |
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