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        Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. Type 508 Accommodation and the title of the report in the subject line of e-mail.

        Household Preparedness for Public Health Emergencies — 14 States, 2006–2010

        Please note: An erratum has been published for this article. To view the erratum, please click here.

        Populations affected by disaster increase the demand on emergency response and public health systems and on acute care hospitals, often causing disruptions of services (1). Household preparedness measures, such as having a 3-day supply of food, water, and medication and a written household evacuation plan, can improve a population's ability to cope with service disruption, decreasing the number of persons who might otherwise overwhelm emergency services and health-care systems (2). To estimate current levels of self-reported household preparedness by state and sociodemographic characteristics, CDC analyzed Behavioral Risk Factor Surveillance System (BRFSS) survey data collected in 14 states during 2006–2010. The results of this analysis indicated that an estimated 94.8% of households had a working battery-operated flashlight, 89.7% had a 3-day supply of medications for everyone who required them, 82.9% had a 3-day supply of food, 77.7% had a working battery-operated radio, 53.6% had a 3-day supply of water, and 21.1% had a written evacuation plan. Non-English speaking and minority respondents, particularly Hispanics, were less likely to report household preparedness for an emergency or disaster, suggesting that more outreach activities should be directed toward these populations.

        BRFSS is a state-based, random-digit–dialed telephone survey of the noninstitutionalized U.S. civilian population aged ≥18 years.* The survey collects information on health risk behaviors, preventive health practices, health-care access, and disease status. The General Preparedness module was included in BRFSS surveys conducted by 14 states during 2006–2010. Two states, Nebraska and Montana, collected data for multiple years. Comparison of data collected by these two states showed no significant increases or decreases in preparedness measures over time. Therefore, data for Nebraska and Montana were combined across years. Significance of differences between percentages was determined by chi-square test (p<0.05).

        During 2006–2010, preparedness data were collected (with Council of American Survey and Research Organizations response rates indicated) from the following states: 2006, Connecticut (44.3%), Montana (54.8%), Nevada (50.1%), and Tennessee (56.7%); 2007, Delaware (43.2%), Louisiana (41.0%), Maryland (31.4%), Nebraska (65.4%), and New Hampshire (37.7%); 2008, Georgia (55.1%), Montana (48.3%), Nebraska (65.5%), New York (40.0%), and Pennsylvania (45.6%); 2009, Mississippi (49.3%); and 2010, Montana (65.4%) and North Carolina (41.1%).

        Household disaster preparedness measures, as defined by the BRFSS questionnaire, included the following items: having 3-day supplies of food, prescription medications, and water, a written evacuation plan, a working battery-powered radio, and a working battery-powered flashlight. Respondents were asked the following six questions: 1) "Does your household have a 3-day supply of nonperishable food for everyone who lives there? By nonperishable we mean food that does not require refrigeration or cooking." 2) "Does your household have a 3-day supply of water for everyone who lives there? A 3-day supply of water is 1 gallon of water per person per day." 3) "Does your household have a 3-day supply of prescription medications for each person in your household who takes prescription medications?" 4) "Does your household have a working battery-operated radio and working batteries for use if the electricity is out?" 5) "Does your household have a working flashlight and working batteries for use if the electricity is out?" 6) "Does your household have a written evacuation plan for how you will leave your home in case of a large-scale disaster or emergency that requires evacuation?"

        Overall, an estimated 94.8% of households had a working battery-operated flashlight, 89.7% had a 3-day supply of medications for everyone who required them, 82.9% had a 3-day supply of food, 77.7% had a working battery-operated radio, 53.6% had a 3-day supply of water, and 21.1% had a written evacuation plan (Table 1). With the exception of having a 3-day supply of medication and a written evacuation plan, which were not significantly different by sex, men were significantly more likely than women to report their households were prepared. Significant differences ranged from 1.6 percentage points (95.6% compared with 94.0%) for having a working, battery-powered flashlight to 6.9 percentage points (57.2% compared with 50.3%) for having a 3-day supply of water (Table 1). By race/ethnicity, Hispanics were significantly less likely than all other race/ethnicities to have a 3-day supply of food (75.0%), a 3-day supply of medication (69.0%), and a working battery-operated radio (67.1%), and flashlight (84.4%). In general, as the age of respondents increased, reported household preparedness increased. With the exceptions of having a 3-day supply of water and a written evacuation plan, persons with a high school diploma were more likely to indicate preparedness than those with less than a high school diploma. With the exception of having a written evacuation plan, which was most prevalent among respondents who were unable to work, in general, retired respondents were most likely to indicate that their household was prepared.

        Respondents who requested that the survey be conducted in Spanish (68.2%) were less likely to report their households had a 3-day supply of food than those administered the survey in English (83.2%) (Figure). A similar pattern was observed for having a 3-day supply of medication (Spanish, 51.7%; English, 90.6%), a working battery-operated radio (Spanish, 56.5%; English, 78.1%), and a working battery-operated flashlight (Spanish, 74.7%; English, 95.2%). However, respondents who requested the survey be conducted in Spanish were significantly more likely to report their households had a 3-day supply of water (Spanish, 64.5%; English, 53.6%) and were as likely as those interviewed in English to report that the household had a written evacuation plan (Spanish, 25.6%; English, 20.6%; p=0.066).

        By state, Montana respondents were most likely (88.1%) and Nevada respondents were least likely (78.5%) to report their household had a 3-day supply of food (Table 2). Pennsylvania respondents were most likely (93.7%) and Nevada respondents were least likely (80.7%) to report a 3-day supply of medication. Louisiana respondents were most likely (67.1%) and Nebraska respondents were least likely (45.5%) to report a 3-day supply of water. Louisiana respondents were most likely (54.0%) and Pennsylvania respondents were least likely (15.0%) to have a written evacuation plan. Louisiana respondents were most likely (85.2%) and Nevada respondents were least likely (72.3%) to report a working battery-powered radio. New Hampshire respondents were most likely (97.2%) and New York respondents were least likely (93.4%) to report a working battery-powered flashlight.

        Reported by

        Summer D. DeBastiani MPH, Tara W Strine, PhD, Office of Public Health Preparedness and Response, CDC. Corresponding contributor: Summer D. DeBastiani, sdebastiani@cdc.gov, 404-639-3101.

        Editorial Note

        Similar to previous studies, the findings in this report generally indicate increased levels of disaster and emergency preparedness among men, English-speaking persons, and adults with more education (3,4). Also similar to previous research, this analysis indicates limited evacuation planning among households (3,4). With the notable exception of Louisiana, where in 2007, 2 years after devastating Hurricane Katrina, 54.0% of respondents said they had a written evacuation plan, no state reported a prevalence as high as 35%. Therefore, increased efforts encouraging the adoption of a written household evacuation plan are needed.

        Beginning in 2003, the federal government launched two preparedness campaigns for the purpose of increasing household preparedness: Ready.gov and the Citizen Corps (5,6). Both campaigns encourage the general population to prepare for disasters by being informed, assembling an emergency kit, and having a plan (Box). Ready.gov is an Internet-based disaster preparedness initiative, and the Citizen Corps encourages government and community leaders to involve the general population in all-hazards emergency preparedness activities (5,6). The primary method to access preparedness materials and information through these organizations is via predominantly English language websites, creating a possible barrier for non-English speaking adults, persons of low socioeconomic status, and those without Internet access. An increased effort to make household preparedness materials and information more accessible, particularly by those with resource and language barriers, is needed.

        The findings in this report are subject to at least five limitations. First, during 2006–2010, BRFSS sampled only households with a landline telephone, thus excluding homes with only cellular telephones. Second, responses were dependent on the participant's understanding of preparedness measures taken in the household; for example, some respondents might not have known that the household had a 3-day supply of food, water, and medications. In addition, respondents were not required to present any evidence that a preparedness measure (e.g., 3-day supply of water or a working flashlight) had been met. Third, the response rates were low; only approximately one of every two persons contacted agreed to participate in the survey. Fourth, several of the questions failed to account for all types of preparedness technology (e.g., hand-cranked flashlights). Finally, the General Preparedness module was only implemented in 14 states during 2006–2010, with only a few states using the module in any given year; therefore, the findings are not generalizable to the U.S. population.

        Since the 2001 terrorist attacks, the federal government has increased its emphasis on emergency preparedness, including the response and recovery capabilities of emergency management agencies, hospitals, and public health systems (7). CDC uses preparedness metrics to assess systems, with the findings disseminated to states and used to inform Healthy People 2020 objectives. Outcomes associated with individual household preparedness activities, however, are not similarly assessed or shared (3,8). To help improve household disaster preparedness in the general population and to inform national and state preparedness planning and policy, systematically measured, generalizable state-based household preparedness data are needed (9).

        References

        1. Hick JL, Hanfling D, Burstein JL, et al. Health care facility and community strategies for patient care surge capacity. Ann Emerg Med 2004;44:253–61.
        2. Paton D, Johnston DM. Disaster resilience: an integrated approach. Springfield, IL: Charles C. Thomas; 2006:105–6.
        3. Ablah E, Konda K, Kelley CL. Factors predicting individual emergency preparedness: a multi-state analysis of the 2006 BRFSS data. Biosecur Bioterror 2009;7:317–30.
        4. Murphy ST, Cody M, Frank LB, Glik D, Ang A. Predictors of emergency preparedness and compliance. Disaster Med Public Health Prep 2009;7:S1–8.
        5. Federal Emergency Management Agency. Ready. Washington, DC: Federal Emergency Management Agency; 2012. Available at http://www.ready.gov. Accessed September 7, 2012.
        6. Federal Emergency Management Agency. Citizen Corps. Washington, DC: Federal Emergency Management Agency; 2012. Available at http://citizencorps.gov. Accessed September 7, 2012.
        7. CDC. Public health preparedness capabilities: national standards for state and local planning. Atlanta, GA: US Department of Health and Human Services, CDC; 2011. Available at http://www.cy118119.com/phpr/capabilities. Accessed September 7, 2012.
        8. CDC. Public Health Emergency Preparedness Program: budget period 1. Performance measures specifications and implementation guidance. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cy118119.com/phpr/documents/phep+bp1+pm+specifications+and+implementation+guidance_v1_1.pdf. Accessed September 7, 2012.

        * Additional information available at http://www.cy118119.com/brfss.


        What is already known on this topic?

        Household preparedness measures, such as having a 3-day supply of food, water, and medications and a written household evacuation plan, can improve a population's ability to cope with disasters and emergencies, decreasing the number of persons who might otherwise strain emergency and health-care services.

        What is added by this report?

        Results from Behavioral Risk Factor Surveillance System surveys of household preparedness in 14 states during 2006–2010 indicated that an estimated 94.8% of households had a working battery-operated flashlight, 89.7% had a 3-day supply of medications for everyone who required them, 82.9% had a 3-day supply of food, 77.7% had a working battery-operated radio, 53.6% had a 3-day supply of water, and only 21.1% of U.S. residents had a written evacuation plan.

        What are the implications for public health practice?

        Greater effort is needed to stress the importance of disaster and emergency preparedness, especially the need for a written evacuation plan. Public health and emergency services agencies should increase the accessibility of household preparedness materials and information to the Hispanic population and persons with resource and language barriers.


        BOX. Recommendations to prepare a household for emergency or disaster — Federal Emergency Management Agency, 2012

        Be informed

        Knowing about the local emergency plans for shelter and evacuation and local emergency contacts will help you develop your household plan and also will aid you during a crisis.

        Make a kit

        A disaster supplies kit is simply a collection of basic items your household might need in the event of an emergency.

        • Water, 1 gallon of water per person per day for at least 3 days, for drinking and sanitation.
        • Food, at least a 3-day supply of nonperishable food.
        • At least a 3-day supply of medications for each person who takes prescription medications.
        • Battery-powered or hand crank radio and a National Oceanic Atmospheric Administration weather radio with tone alert and extra batteries for both.
        • Flashlight and extra batteries.

        Have a plan

        Emergency planning should address the care of pets, aiding family members with access and functional needs and safely shutting off utilities. Practice your plan at least twice a year and update it according to any issues that arise.

        Source: Federal Emergency Management Agency. Ready. Washington, DC: Federal Emergency Management Agency; 2012. Available at http://www.ready.gov.


        FIGURE. Percentage of participants reporting household disaster or emergency preparedness, by preparedness measure and language used in the interview — Behavioral Risk Factor Surveillance System, 14 states, 2006–2010

        The figure shows the percentage of participants reporting household disaster or emergency preparedness, by preparedness measure and language (English or Spanish) used in the interview, in 14 states during 2006-2010. Respondents surveyed in Spanish were less likely (68.2%) to report their households had a 3-day supply of food than those administered the survey in English (83.2%). A similar pattern was observed for having a 3-day supply of medication and working battery-operated radio and flashlight. However, respondents surveyed in Spanish were significantly more likely to report a 3-day supply of water (Spanish, 64.5%; English, 53.6%), and there was no significant difference, by language, in the proportion reporting that the household had a written evacuation plan.

        * 95% confidence interval.

        Alternate Text: The figure above shows the percentage of participants reporting household disaster or emergency preparedness, by preparedness measure and language (English or Spanish) used in the interview, in 14 states during 2006-2010. Respondents surveyed in Spanish were less likely (68.2%) to report their households had a 3-day supply of food than those administered the survey in English (83.2%). A similar pattern was observed for having a 3-day supply of medication and working battery-operated radio and flashlight. However, respondents surveyed in Spanish were significantly more likely to report a 3-day supply of water (Spanish, 64.5%; English, 53.6%), and there was no significant difference, by language, in the proportion reporting that the household had a written evacuation plan.


        TABLE 1. Percentage of participants reporting household disaster or emergency preparedness, by preparedness measures and sociodemographic characteristics — Behavioral Risk Factor Surveillance System, 14 states, 2006–2010

        Characteristic

        Have a 3-day supply of food

        Have a 3-day supply of medication

        Have a 3-day supply of water

        No. in sample

        Weighted no.

        %

        (95% CI)

        No. in sample

        Weighted no.

        %

        (95% CI)

        No. in sample

        Weighted no.

        %

        (95% CI)

        Overall

        83,965

        49,939,735

        82.9

        (82.4–83.5)

        80,351

        47,083,817

        89.7

        (89.2–90.1)

        55,323

        32,222,914

        53.6

        (52.9–54.3)

        Sex

        Men

        31,975

        24,297,666

        84.2

        (83.3–85.0)

        29,855

        22,484,121

        90.2

        (89.4–90.9)

        22,374

        16,514,103

        57.2

        (56.1–58.3)

        Women

        51,990

        25,642,069

        81.8

        (81.1–82.5)

        50,496

        24,599,696

        89.2

        (88.6–89.8)

        32,949

        15,708,811

        50.3

        (49.4–51.1)

        Race/Ethnicity*

        White

        79,764

        38,059,253

        84.8

        (84.2–85.4)

        67,007

        36,730,925

        92.8

        (92.4–93.2)

        44,179

        23,349,524

        52.1

        (51.3–52.9)

        Black

        7,889

        6,322,382

        77.9

        (76.1–79.5)

        7,423

        5,726,674

        82.6

        (81.0–84.2)

        6,078

        4,733,017

        58.2

        (56.3–60.2)

        Hispanic

        2,262

        2,744,511

        75.0

        (71.6–78.1)

        1,849

        2,060,575

        69.0

        (65.1–72.7)

        1,715

        2,025,186

        55.0

        (51.4–58.7)

        Other race/Multirace

        3,753

        2,365,541

        78.7

        (75.5–81.6)

        3,378

        2,159,139

        84.9

        (81.7–87.6)

        2,789

        1,780,008

        60.4

        (57.0–63.7)

        Age group (yrs)

        18–24

        2,576

        4,683,190

        79.7

        (77.1–82.1)

        2,102

        3,918,690

        79.8

        (76.9–82.4)

        1,689

        3,088,207

        53.1

        (50.0–56.3)

        25–34

        7,241

        8,345,572

        77.8

        (76.1–79.5)

        5,871

        7,000,146

        83.7

        (82.0–85.3)

        4,294

        5,202,686

        48.4

        (46.5–50.4)

        35–44

        12,053

        10,274,805

        80.8

        (79.5–82.1)

        10,610

        9,310,066

        87.7

        (86.5–88.9)

        7,251

        6,166,027

        48.6

        (47.0–50.2)

        45–54

        16,863

        9,621,520

        83.5

        (82.5–84.5)

        15,961

        9,248,143

        90.5

        (89.6–91.3)

        10,821

        6,093,993

        52.9

        (51.6–54.3)

        ≥55

        44,575

        16,673,720

        87.9

        (87.4–88.5)

        45,192

        17,268,658

        95.8

        (95.4–96.1)

        30,764

        11,402,504

        60.2

        (59.4–61.1)

        Education

        Less than a high school diploma

        7,910

        4,316,121

        80.0

        (78.0–81.8)

        7,632

        3,831,918

        79.3

        (77.0–81.3)

        6,013

        3,199,648

        59.7

        (57.4–61.9)

        High school diploma

        26,255

        15,048,742

        83.8

        (82.8–84.7)

        25,123

        13,965,053

        88.3

        (87.3–89.1)

        17,666

        10,206,329

        57.0

        (55.7–58.2)

        More than a high school diploma

        49,670

        30,516,047

        83.0

        (82.3–83.7)

        47,472

        29,231,941

        92.0

        (91.4–92.5)

        31,535

        18,764,811

        51.0

        (50.2–51.9)

        Employment status

        Currently employed

        43,599

        30,335,878

        82.4

        (81.7–83.2)

        39,696

        27,434,623

        88.7

        (88.0–89.4)

        27,586

        18,994,551

        51.7

        (50.7–52.6)

        Unemployed

        3,409

        2,686,613

        78.5

        (75.4–81.2)

        3,135

        2,500,045

        84.9

        (82.1–87.3)

        2,346

        1,834,715

        53.5

        (50.2–56.8)

        Retired

        23,643

        8,673,886

        89.2

        (88.4–89.9)

        24,209

        9,107,235

        96.5

        (96.1–96.9)

        16,496

        6,092,790

        62.9

        (61.7–64.0)

        Unable to work

        5,568

        2,619,215

        78.4

        (76.2–80.5)

        6,106

        2,895,877

        89.2

        (87.4–90.7)

        4,028

        1,852,808

        55.7

        (53.2–58.3)

        Housewife/Student

        7,551

        5,528,482

        81.5

        (79.7–83.1)

        7,020

        5,051,584

        86.5

        (84.8–88.1)

        4,720

        3,376,956

        49.9

        (47.7–52.1)

        Marital status

        Currently married

        48,066

        30,831,168

        84.3

        (83.7–85.0)

        46,635

        29,645,628

        91.7

        (91.1–92.2)

        30,395

        19,343,368

        52.9

        (52.1–53.8)

        Previously married

        25,166

        8,731,801

        83.0

        (82.0–84.0)

        24,297

        8,419,916

        90.1

        (89.2–90.9)

        17,555

        5,930,648

        56.6

        (55.3–57.8)

        Never married§

        10,469

        10,227,723

        78.9

        (77.4–80.4)

        9,193

        8,875,935

        83.3

        (81.7–84.7)

        7,178

        6,825,329

        52.9

        (51.0–54.7)

        Interview language

        English

        82,140

        47,896,583

        83.2

        (82.7–83.8)

        78,730

        45,313,761

        90.6

        (90.1–91.1)

        54,047

        30,767,692

        53.6

        (52.9–54.3)

        Spanish

        552

        666,986

        68.2

        (62.1–73.7)

        348

        432,069

        51.7

        (44.6–58.6)

        514

        627,984

        64.5

        (58.2–70.2)

        Children in household

        Yes

        23,462

        20,454,775

        80.9

        (80.0–81.9)

        20,767

        18,129,679

        86.7

        (85.7–87.6)

        13,764

        12,200,949

        48.4

        (47.2–49.6)

        No

        60,392

        29,425,652

        84.4

        (83.8–85.1)

        59,498

        28,905,485

        91.7

        (91.1–92.2)

        41,481

        19,981,656

        57.4

        (56.6–58.2)


        TABLE 1. (Continued) Percentage of participants reporting household disaster or emergency preparedness, by preparedness measures and sociodemographic characteristics — Behavioral Risk Factor Surveillance System, 14 states, 2006–2010

        Characteristic

        Have a written evacuation plan

        Have a working battery-operated radio

        Have a working battery-operated flashlight

        No. in sample

        Weighted no.

        %

        (95% CI)

        No. in sample

        Weighted no.

        %

        (95% CI)

        No. in sample

        Weighted no.

        %

        (95% CI)

        Overall

        22,522

        12,661,492

        21.1

        (20.6–21.7)

        74,331

        46,538,951

        77.7

        (77.2–78.3)

        93,831

        57,256,195

        94.8

        (94.4–95.1)

        Sex

        Men

        8,385

        6,051,319

        21.0

        (20.2–21.9)

        28,986

        22,906,709

        79.6

        (78.6–80.5)

        35,529

        27,730,509

        95.6

        (95.1–96.1)

        Women

        14,137

        6,610,173

        21.3

        (20.6–21.9)

        45,345

        23,632,242

        76.1

        (75.3–76.8)

        58,302

        29,525,687

        94.0

        (93.6–94.4)

        Race/Ethnicity*

        White

        17,498

        8,761,404

        19.6

        (19.0–20.2)

        61,565

        35,783,853

        80.4

        (79.8–81.0)

        77,536

        43,646,594

        97.0

        (96.7–97.2)

        Black

        2,620

        2,103,974

        26.2

        (24.7–27.9)

        6,931

        5,878,861

        72.4

        (70.5–74.1)

        8,703

        7,232,129

        89.1

        (87.8–90.2)

        Hispanic

        907

        980,547

        26.8

        (23.9–29.9)

        2,005

        2,465,690

        67.1

        (63.5–70.4)

        2,559

        3,116,057

        84.4

        (81.5–86.9)

        Other race/Multirace

        1,272

        706,156

        23.9

        (21.3–26.7)

        3,195

        2,021,506

        67.3

        (63.7–70.8)

        4,206

        2,747,172

        90.8

        (88.4–92.8)

        Age group (yrs)

        18–24

        694

        1,038,145

        17.9

        (15.9–20.1)

        2,389

        4,401,518

        75.6

        (72.8–78.2)

        2,940

        5,408,379

        92.0

        (90.2–93.5)

        25–34

        1,896

        1,959,055

        18.3

        (17.0–19.8)

        6,667

        7,937,548

        74.2

        (72.4–75.9)

        8,450

        9,962,729

        92.7

        (91.6–93.6)

        35–44

        3,235

        2,660,066

        21.0

        (19.7–22.3)

        11,455

        9,925,954

        78.4

        (77.0–79.8)

        13,920

        12,025,987

        94.3

        (93.5–95.1)

        45–54

        4,453

        2,471,297

        21.5

        (20.5–22.6)

        15,444

        9,077,234

        79.5

        (78.4–80.5)

        19,108

        11,047,242

        95.8

        (95.2–96.3)

        ≥55

        12,036

        4,419,004

        23.5

        (22.8–24.2)

        37,769

        14,866,044

        78.8

        (78.1–79.5)

        48,663

        18,405,331

        96.5

        (96.1–96.8)

        Education

        Less than a high school diploma

        2,502

        1,408,864

        26.7

        (24.8–28.6)

        6,414

        3,651,230

        67.8

        (65.6–70.0)

        8,677

        4,761,831

        88.3

        (86.6–89.8)

        High school diploma

        7,757

        4,415,355

        24.8

        (23.8–25.8)

        23,338

        14,060,524

        78.6

        (77.5–79.6)

        29,233

        17,045,577

        94.5

        (94.0–95.1)

        More than a high school diploma

        12,219

        6,813,722

        18.6

        (17.9–19.2)

        44,467

        28,769,462

        78.8

        (78.1–79.5)

        55,771

        35,376,690

        95.8

        (95.4–96.2)

        Employment status

        Currently employed

        10,867

        7,144,636

        19.5

        (18.8–20.2)

        39,991

        28,909,540

        79.0

        (78.2–79.7)

        49,522

        35,152,226

        95.3

        (94.9–95.7)

        Unemployed

        958

        742,373

        22.0

        (19.5–24.8)

        3,025

        2,452,521

        72.5

        (69.3–75.4)

        3,865

        3,146,645

        91.9

        (89.9–93.5)

        Retired

        6,688

        2,457,513

        25.6

        (24.6–26.6)

        19,787

        7,642,923

        79.0

        (78.1–79.9)

        25,535

        9,457,148

        96.6

        (96.2–97.0)

        Unable to work

        1,891

        904,303

        27.5

        (25.4–29.8)

        4,640

        2,280,968

        68.7

        (66.2–71.1)

        6,169

        2,952,544

        88.4

        (86.6–90.0)

        Housewife/ Student

        2,048

        1,372,799

        20.2

        (18.7–21.9)

        6,721

        5,162,344

        76.5

        (74.5–78.4)

        8,518

        6,430,010

        94.1

        (93.0–95.0)

        Marital status

        Currently married

        12,082

        7,572,189

        20.7

        (20.1–21.4)

        44,388

        29,358,964

        80.8

        (80.1–81.5)

        53,879

        35,453,676

        96.7

        (96.3–97.0)

        Previously married

        7,499

        2,614,001

        25.1

        (24.1–26.2)

        20,383

        7,540,051

        71.9

        (70.8–73.0)

        27,707

        9,762,064

        92.4

        (91.7–93.1)

        Never married§

        2,855

        2,434,013

        19.0

        (17.7–20.3)

        9,334

        9,492,166

        73.8

        (72.1–75.4)

        11,941

        11,863,771

        91.3

        (90.3–92.3)

        Interview language

        English

        21,689

        11,819,518

        20.6

        (20.1–21.2)

        72,706

        44,672,616

        78.1

        (77.5–78.7)

        91,753

        54,940,267

        95.2

        (94.8–95.5)

        Spanish

        251

        249,308

        25.6

        (20.7–31.2)

        451

        555,298

        56.5

        (50.0–62.7)

        615

        735,069

        74.7

        (68.7–79.9)

        Children in household

        Yes

        6,540

        5,239,598

        20.8

        (20.0–21.8)

        22,172

        19,678,184

        78.2

        (77.2–79.2)

        26,937

        23,878,858

        94.3

        (93.7–94.8)

        No

        15,934

        7,392,433

        21.3

        (20.7–21.9)

        52,054

        26,797,544

        77.4

        (76.7–78.1)

        66,771

        33,299,418

        95.1

        (94.7–95.5)

        Abbreviation: CI = confidence interval.

        * Persons identified as Hispanic might be of any race. Persons identified as white, black, or other race/multirace are all non-Hispanic. The four racial/ethnic categories are mutually exclusive.

        Includes divorced, widowed, and separated persons.

        § Includes never married persons and members of unmarried couples.


        TABLE 2. Percentage of participants reporting household disaster or emergency preparedness, by preparedness measures and state — Behavioral Risk Factor Surveillance System, 14 states, 2006–2010

        State

        Year

        Have a 3-day supply of food

        Have a 3-day supply of medication

        Have a 3-day supply of water

        No. in sample

        Weighted no.

        %

        (95% CI)

        No. in sample

        Weighted no.

        %

        (95% CI)

        No. in sample

        Weighted no.

        %

        (95% CI)

        Overall

        83,965

        49,939,735

        82.9

        (82.483.5)

        80,351

        47,083,817

        89.7

        (89.290.1)

        55,323

        32,222,914

        53.6

        (52.954.3)

        Connecticut

        2006

        3,483

        1,953,333

        80.7

        (78.1–82.3)

        3,430

        1,897,278

        88.5

        (87.0–89.8)

        2,289

        1,250,486

        51.6

        (49.7–53.6)

        Delaware

        2007

        3,402

        559,508

        85.6

        (83.9–87.1)

        3,232

        519,317

        91.5

        (90.0–92.8)

        2,374

        393,933

        60.2

        (58.0–62.4)

        Georgia

        2008

        4,686

        5,704,548

        83.8

        (82.1–85.3)

        4,552

        5,326,005

        91.0

        (89.7–92.2)

        2,952

        3,548,334

        52.2

        (50.2–54.2)

        Louisiana

        2007

        5,263

        2,503,903

        84.7

        (83.4–86.0)

        4,840

        2,225,833

        85.2

        (83.8–86.4)

        4,180

        1,986,970

        67.1

        (65.5–68.8)

        Maryland

        2007

        3,377

        3,081,163

        79.7

        (77.7–81.5)

        3,393

        2,971,525

        86.3

        (84.2–88.1)

        2,309

        2,141,650

        55.1

        (52.9–57.3)

        Mississippi

        2009

        8,780

        1,665,142

        83.3

        (82.2–84.4)

        8,829

        1,602,641

        90.8

        (89.7–91.7)

        6,051

        1,129,593

        56.6

        (55.1–58.0)

        Montana

        2006

        2008

        2010

        16,737

        1,827,338

        88.1

        (87.4–88.8)

        15,185

        1,620,819

        91.1

        (90.4–91.9)

        10,896

        1,133,622

        54.7

        (53.6–55.8)

        Nebraska

        2007

        2008

        8,736

        2,082,276

        83.8

        (82.1–85.4)

        8,398

        1,957,109

        91.0

        (89.5–92.3)

        4,745

        1,130,401

        45.5*

        (43.5–47.6)

        Nevada

        2006

        2,772

        1,300,038

        78.5*

        (76.1–80.7)

        2,559

        1,170,845

        80.7*

        (78.1–83.1)

        2,102

        1,041,549

        63.0

        (60.4–65.5)

        New Hampshire

        2007

        4,615

        776,298

        81.7

        (80.3–82.9)

        4,540

        752,438

        90.8

        (89.6–91.9)

        3,122

        5,167,704

        54.2

        (52.6–55.9)

        New York

        2008

        3,032

        11,086,539

        79.8

        (78.0–81.4)

        3,040

        10,742,654

        89.6

        (87.9–91.0)

        1,953

        6,979,891

        50.4

        (48.4–52.5)

        North Carolina

        2010

        10,227

        5,869,875

        84.7

        (84.5–86.8)

        9,803

        5,367,481

        91.4

        (90.3–92.4)

        6,707

        3,866,292

        56.7

        (55.2–58.1)

        Pennsylvania

        2008

        5,435

        7,995,514

        86.1

        (84.7–87.5)

        5,246

        7,614,674

        93.7

        (92.5–94.8)

        3,579

        4,947,353

        53.4

        (51.5–55.4)

        Tennessee

        2006

        3,420

        3,534,261

        82.0

        (80.2–83.6)

        3,304

        3,315,199

        84.4

        (82.5–86.2)

        2,064

        2,156,136

        50.0

        (47.7–52.3)


        TABLE 2. (Continued) Percentage of participants reporting household disaster or emergency preparedness, by preparedness measures and state — Behavioral Risk Factor Surveillance System, 14 states, 2006–2010

        State

        Year

        Have a written evacuation plan

        Have a working battery-operated radio

        Have a working battery-operated flashlight

        No. in sample

        Weighted no.

        %

        (95% CI)

        No. in sample

        Weighted no.

        %

        (95% CI)

        No. in sample

        Weighted no.

        %

        (95% CI)

        Overall

        22,522

        12,661,492

        21.1

        (20.621.7)

        74,331

        46,538,951

        77.7

        (77.278.3)

        93,831

        57,256,195

        94.8

        (94.495.1)

        Connecticut

        2006

        967

        544,187

        22.4

        (20.8–24.1)

        3,338

        1,915,855

        79.2

        (77.6–80.8)

        4,121

        2,328,965

        95.5

        (94.6–96.2)

        Delaware

        2007

        947

        148,878

        22.8

        (20.8–25.0)

        3,062

        514,735

        79.0

        (77.1–80.7)

        3,771

        627,163

        95.7

        (94.7–96.6)

        Georgia

        2008

        957

        1,082,355

        16.0

        (14.7–17.5)

        4,027

        5,088,753

        75.1

        (73.3–76.8)

        5,172

        6,461,497

        94.6

        (93.6–95.4)

        Louisiana

        2007

        3,224

        1,585,357

        54.0

        (52.3–55.7)

        5,191

        2,513,071

        85.2

        (83.9–86.4)

        5,882

        2,836,825

        95.4

        (94.6–96.1)

        Maryland

        2007

        1,136

        1,031,932

        26.9

        (25.0–28.8)

        3,207

        3,050,542

        79.7

        (77.7–81.5)

        3,910

        3,668,318

        94.9

        (93.6–95.9)

        Mississippi

        2009

        1,901

        357,999

        18.0

        (16.9–19.3)

        7,842

        1,568,763

        78.7

        (77.6–79.9)

        9,946

        1,896,225

        94.7

        (94.1–95.3)

        Montana

        2006

        2008

        2010

        3,776

        397,797

        19.2

        (18.4–20.1)

        13,284

        1,522,456

        74.2

        (73.3–75.2)

        18,177

        2,004,263

        96.4

        (96.0–96.8)

        Nebraska

        2007

        2008

        2,231

        519,381

        21.0

        (19.4–22.7)

        8,197

        2,043,232

        82.6

        (81.0–84.1)

        9,793

        2,404,766

        96.5

        (95.7–97.2)

        Nevada

        2006

        1,029

        473,114

        28.6

        (26.4–30.9)

        2,479

        1,191,252

        72.3*

        (69.7–74.7)

        3,148

        1,505,890

        90.5

        (88.3–92.2)

        New Hampshire

        2007

        1,252

        196,826

        20.7

        (19.5–22.1)

        4,318

        751,036

        79.4

        (78.1–80.7)

        5,446

        926,119

        97.2

        (96.5–97.7)

        New York

        2008

        669

        2,272,831

        16.5

        (15.1–18.0)

        2,828

        10,608,454

        76.7

        (74.9–78.4)

        3,514

        3,059,551

        93.4*

        (92.3–94.4)

        North Carolina

        2010

        1,883

        1,171,601

        17.2

        (16.1–18.5)

        8,692

        5,251,368

        77.2

        (76.0–78.5)

        11,153

        6,543,028

        95.2

        (94.5–95.8)

        Pennsylvania

        2008

        1,081

        1,392,433

        15.0*

        (13.7–16.4)

        4,720

        7,159,537

        77.7

        (76.0–79.3)

        6,017

        8,976,868

        96.3

        (95.5–97.0)

        Tennessee

        2006

        1,469

        1,486,798

        34.6

        (32.5–36.8)

        3,146

        3,359,894

        78.5

        (76.6–80.3)

        3,881

        4,016,717

        93.8

        (92.5–94.9)

        Abbreviation: CI = confidence interval.

        * Lowest percentage for preparedness measure among the 14 states.

        Highest percentage for preparedness measure among the 14 states.


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