Society (United States)

Family

Average Family Size, 1950-2006

 

number of

people per

 

families

family

year

(’000)

(average)

1950

39,303

3.54

1955

41,951

3.59

1960

45,111

3.67

1965


47,956

3.70

 

number of

people per

 

families

family

year

(’000)

(average)

1970

51,586

3.58

1975

55,712

3.42

1980

59,550

3.29

1985

62,706

3.23

 

number of

people per

 

families

family

year

(’000)

(average)

1990

66,090

3.17

1995

69,305

3.19

2000

72,025

3.17

2006

74,564

3.20

US Population by Age

population

age

number

(%)

under 5 years

21,009,914

6.9

5 to 9 years

20,155,574

6.6

10 to 14 years

19,981,265

6.6

15 to 19 years

21,728,978

7.2

20 to 24 years

21,186,421

7.0

25 to 34 years

40,692,640

13.3

35 to 44 years

42,338,149

13.9

45 to 54 years

44,321,477

14.6

population

age

number

(%)

55 to 64 years

33,720,059

11.1

65 to 74 years

20,054,212

6.6

75 years and over

18,635,957

6.1

total population

303,824,646

100.0

under 20 years

82,875,731

27.3

20 years and over

220,948,915

72.7

65 years and over

38,690,169

12.7

Living Arrangements of Children Under 18 in the US, 2006

Numbers in thousands (’000). Hispanics may be of any race. Detail may not add to total given because of rounding.

 

 

 

race

 

living in household with:

all races

white

black

hispanic

both parents

49,650

41,573

3,884

9,685

mother only

17,164

10,083

5,747

3,674

father only

3,462

2,591

539

603

neither parent

3,389

2,028

1,055

735

totals

73,664

56,332

11,225

14,697

Children Under 18 Living Below the Poverty Level, 1983-2006

 

% of children below the poverty level

number of children below the poverty level

 

 

 

 

asian/

 

 

 

 

asian/

 

 

 

 

 

pacific

 

 

 

 

pacific

 

year

all1

white2

black2

islander2

hispanic

all1

white2

black2

islander2

hispanic

1983

22.3

14.8

46.7

N/A

38.1

13,911

6,649

4,398

N/A

2,312

1984

21.5

13.7

46.6

N/A

39.2

13,420

6,156

4,413

N/A

2,376

1985

20.7

12.8

43.6

N/A

40.3

13,010

5,745

4,157

N/A

2,606

1986

20.5

13.0

43.1

N/A

37.7

12,876

5,789

4,148

N/A

2,507

1987

20.3

11.8

45.1

23.5

39.3

12,843

5,230

4,385

455

2,670

1988

19.5

11.0

43.5

24.1

37.6

12,455

4,888

4,296

474

2,631

1989

19.6

11.5

43.7

19.8

36.2

12,590

5,110

4,375

392

2,603

1990

20.6

12.3

44.8

17.6

38.4

13,431

5,532

4,550

374

2,865

1991

21.8

13.1

45.9

17.5

40.4

14,341

5,918

4,755

360

3,094

1992

22.3

13.2

46.6

16.4

40.0

15,294

6,017

5,106

363

3,637

1993

22.7

13.6

46.1

18.2

40.9

15,727

6,255

5,125

375

3,873

1994

21.8

12.5

43.8

18.3

41.5

15,289

5,823

4,906

318

4,075

1995

20.8

11.2

41.9

19.5

40.0

14,665

5.115

4,761

564

4,080

1996

20.5

11.1

39.9

19.5

40.3

14,463

5,072

4,519

571

4,237

1997

19.9

11.4

37.2

20.3

36.8

14,113

5,204

4,225

628

3,972

 

 

% of children below the poverty level

number of children below the poverty level

 

 

 

 

asian/

 

 

 

 

asian/

 

 

 

 

 

pacific

 

 

 

 

pacific

 

year

all1

white2

black2

islander2

hispanic

all1

white2

black2

islander2

hispanic

1998

18.9

10.6

36.7

18.0

34.4

13,467

4,822

4,151

564

3,837

1999

16.9

9.4

33.2

11.9

30.3

12,280

4,155

3,813

381

3,693

2000

16.2

9.1

31.2

12.7

28.4

11,587

4,018

3,581

420

3,522

2001

16.3

9.5

30.2

11.5

28.0

11,733

4,194

3,492

369

3,570

2002

16.7

9.4

32.3

11.73

28.6

12,133

4,090

3,645

3153

3,782

2003

17.6

9.8

34.1

12.53

29.7

12,866

4,233

3,877

3443

4,077

2004

17.8

10.5

33.7

9.83

28.9

13,041

4,519

3,788

2813

4,098

2005

17.6

10.0

34.5

11.03

28.3

12,896

4,254

3,841

3173

4,143

2006

17.4

14.1

33.4

12.5

N/A

12,827

7,908

3,777

391

N/A

Child Care Arrangements in the US

This table is based on sample surveys of households with children three to five years old who were not yet in kindergarten. Day-care centers, Head Start programs, preschools, prekindergarten, and nursery schools were included as center-based programs. Detail may not add to total given because of rounding and because some children participated in more than one type of nonparental arrangement.

 

 

 

under

under a

under a

in a

 

children

 

parental

relative’s

nonrelative’s

center-based

year of survey

number

(%)

care (%)

care (%)

care (%)

program (%)

1999

8,525,000

100.0

23.1

22.8

16.1

59.7

20011

8,551,000

100.0

27.0

21.0

13.0

56.0

20051

9,066,000

100.0

27.0

29.0

15.0

78.0

feature

details from the 2005 survey12

under under a children parental relative’s number (%) care (%) care (%)

under a nonrelative’s care (%)

in a

center-based program (%)

total

20,665,000

100.0

40.0

35.0

22.0

60.0

sex

male female

10,598,000 10,067,000

51.3 48.7

40.0 41.0

33.0 37.0

22.0 23.0

62.0 58.0

race/ethnic group

white, non-Hispanic black, non-Hispanic Hispanic

other, non-Hispanic

11,488,000 2,962,000 4,283,000 1,933,000

55.6 14.3

20.7 9.4

38.0 31.0 51.0 42.4

32.0 38.0 41.0 38.6

26.0 15.0 20.0 14.7

61.0 63.0 51.0 65.4

household income

less than US$25,001 5,912,000 US$25,001-50,000 5,256,000 US$50,001-75,000 4,307,000 US$75,001-100,000 2,445,000 more than US$100,000 2,746,000

28.6 25.4 20.8 11.8 13.3

49.0 47.0 39.0 27.0 21.0

43.0 42.0 31.0 26.0 26.0

16.0 19.0 27.0 26.0 27.0

57.0 55.0 58.0 63.0 70.0

Children in the US Living with Nonparents

 

adoptions

 

adoptions

total foreign adoptions

top 10 countries

fiscal year

top 10 countries

fiscal year

 

fiscal year

of origin

2006

2007

of origin

2006

2007

2002

20,099

1. China

6,493

5,453

6. Vietnam

163

828

2003

21,616

2. Guatemala

4,135

4,728

7. Ukraine

460

606

2004

22,884

3. Russia

3,706

2,310

8. Kazakhstan

587

540

2005

22,728

4. Ethiopia

732

1,255

9. India

320

416

2006

20,679

5. South Korea

1,376

939

10. Liberia

353

314

2007

19,613

US Nursing Home Population

The data in these tables were gathered through interviews conducted for the most recent National Nursing Home Survey (2004) and through the publication Health, United States, 2007. Only those residents who described themselves as being of one race are included. Data on residents under the age of 65 are not available. Detail may not add to total given because of rounding.

 

total

 

gender (2004)

 

 

age at interview

residents

%

male

%

female

%

65-74

174,100

13.2

75,400

22.4

98,800

10.1

75-84

468,900

35.6

140,800

41.8

328,000

33.5

85 and older

674,200

51.2

120,600

35.8

553,600

56.5

total

1,317,200

100.0

336,800

100.0

980,400

100.0

 

 

race (2004)

 

 

white

%

black

%

65-74

134,200

11.7

34,500

23.7

75-84

406,000

35.3

54,600

37.6

85 and older

608,600

53.0

56,300

38.7

total

1,148,800

100.0

145,400

100.0

 

 

 

resident location (1999)

 

 

 

 

northwest

%

midwest

%

south

%

west

%

65-74

46,400

12.1

58,900

11.8

63,400

11.9

26,100

12.1

75-84

118,500

30.9

153,200

30.8

179,100

33.7

66,800

31.1

85 and older

184,300

48.1

241,100

48.4

237,700

44.7

94,000

43.7

total

383,400

100.0

498,200

100.0

531,500

100.0

215,200

100.0

resident location (2006)

northeast total residents 336,000

%

23.4

midwest % south 416,800 29.1 485,200

%

33.8

west

195,600

%

13.6

Unmarried-Couple Households in the US

Data based on Current Population Survey or American Community Survey except for census years of 1960 and 1970. 2005 data shown separately. Numbers in thousands (’000). Source: US Census Bureau.

 

 

unmarried-

 

 

 

 

 

couple

 

no

with

 

total us

households

% of total

children

children

year

households

(opposite sex)

households

under 15

under 15

1960 census

52,799

439

0.8

242

197

1970 census

63,401

523

0.8

327

196

1980

80,776

1,589

2.0

1,159

431

1985

86,789

1,983

2.3

1,380

603

1990

93,347

2,856

3.1

1,966

891

1995

98,990

3,668

3.7

2,349

1,319

2000

104,705

4,736

4.5

3,061

1,675

unmarried-couple households

2005

 

 

 

male householder/female partner

2,660

 

 

 

male householder/male partner

413

 

 

 

female householder/female partner

364

 

 

 

female householder/male partner

2,529

 

 

 

unmarried-couple households

5,966

 

 

 

total households

 

111,091

 

 

 

The data in this table are taken from surveys of individuals 18 or over conducted by the US Census Bureau and exclude members of the armed forces except those living off post or with their families on post. Data exclude Alaska and Hawaii prior to 1960. Detail may not add to total given because of rounding.

 

 

1950

1960

1970

total 1980

1990

2000

2006

Total individuals surveyed in

111.7

125.5

132.5

159.5

181.8

201.8

219.7

hundred thousands (’000,000)

 

 

 

 

 

 

 

Percentage

of individuals never married

22.8

22.0

16.2

20.3

22.2

23.9

25.2

Percentage

of individuals married

67.0

67.3

71.7

65.5

61.9

59.5

58.1

Percentage

of individuals widowed

8.3

8.4

8.9

8.0

7.6

6.8

6.3

Percentage

of individuals divorced

1.9

2.3

3.2

6.2

8.3

9.8

10.4

Percentage

of males never married

26.2

25.3

18.9

23.8

25.8

27.0

28.6

Percentage

of males married

68.0

69.1

75.3

68.4

64.3

61.5

59.9

Percentage

of males widowed

4.2

3.7

3.3

2.6

2.7

2.7

2.5

Percentage

of males divorced

1.7

1.9

2.5

5.2

7.2

8.8

9.1

Percentage

of females never married

11.1

12.3

13.7

17.1

18.9

21.1

22.0

Percentage

of females married

37.6

42.6

68.5

63.0

59.7

57.6

56.5

Percentage

of females widowed

7.0

8.3

13.9

12.8

12.1

10.5

9.9

Percentage

of females divorced

1.2

1.7

3.9

7.1

9.3

10.8

11.6

United States Education

Percentage who had graduated from high school1

 

all

races2

 

white

 

black

hispanic3

asian/pacific islander

census

male

female

male

female

male

female

male

female

male

female

1960

39.5

42.5

41.6

44.7

18.2

21.8

N/A

N/A

N/A

N/A

1970

51.9

52.8

54.0

55.0

30.1

32.5

37.9

34.2

N/A

N/A

1980

67.3

65.8

69.6

68.1

50.8

51.5

67.3

65.8

N/A

N/A

1990

77.7

77.5

79.1

79.0

65.8

66.5

50.3

51.3

84.0

77.2

2000

84.2

84.0

84.8

85.0

78.7

78.3

56.6

57.5

88.2

83.4

2006

85.0

85.9

85.5

86.7

80.1

81.2

58.5

60.1

89.6

85.5

 

 

 

Percentage who

had graduated from

college4

 

 

 

 

 

 

 

 

 

 

 

 

asian/pacific

 

all

races2

 

white

 

black

hispanic3

islander

census

male

female

male

female

male

female

male

female

male

female

1960

9.7

5.8

10.3

6.0

2.8

3.3

N/A

N/A

N/A

N/A

1970

13.5

8.1

14.4

8.4

4.2

4.6

7.8

4.3

N/A

N/A

1980

20.1

12.8

21.3

13.3

8.4

8.3

9.4

6.0

N/A

N/A

1990

24.4

18.4

25.3

19.0

11.9

10.8

9.8

8.7

44.9

35.4

2000

27.8

23.6

28.5

23.9

16.3

16.7

10.7

10.6

47.6

40.7

2006

29.2

26.9

29.7

27.1

17.2

19.4

11.9

12.9

52.5

47.1

N/A means not available. 1Through 1990, finished four years or more of high school. 2Includes races not shown separately in the table. 3Hispanics may be of any race. 4Through 1990, finished four years or more of college.

The original color of the us president’s residence was the pale grey of the sandstone from which it was built, but it was called the “White House” as early as 1809 because the light sandstone contrasted sharply with the red brick of nearby buildings. It was not until 1902, however, that the building was officially renamed the “White House” by Pres. Theodore Roosevelt.

National Spelling Bee

A spelling bee is a contest or game in which players attempt to spell correctly and aloud words assigned them by an impartial judge. Competition may be individual, with players eliminated when they misspell a word and the last remaining player being the winner, or between teams, the winner being the team with the most players remaining at the close of the contest. The spelling bee is an old custom that was revived in schools in the United States in the late 19th century and enjoyed a great vogue there and in Great Britain. In the US, local, regional, and national competitions continue to be held annually. The US National Spelling Bee was begun by the Louisville Courier-Journal newspaper in 1925, and it was taken over by Scripps Howard, Inc., in 1941. To qualify, spellers must meet nine requirements, including that they have neither reached their 16th birthday nor passed beyond the eighth grade.

year

champion

winning word

year champion

winning word

1925

Frank Neuhauser

gladiolus

1967 Jennifer Reinke

chihuahua

1926

Pauline Bell

cerise

1968 Robert L. Walters

abalone

1927

Dean Lucas

luxuriance

1969 Susan Yoachum

interlocutory

1928

Betty Robinson

albumen

1970 Libby Childress

croissant

1929

Virginia Hogan

asceticism

1971 Jonathan Knisely

shalloon

1930

Helen Jensen

fracas

1972 Robin Kral

macerate

1931

Ward Randall

foulard

1973 Barrie Trinkle

vouchsafe

1932

Dorothy Greenwald

knack

1974 Julie Ann Junkin

hydrophyte

1933

Alma Roach

torsion

1975 Hugh Tosteson

incisor

1934

Sarah Wilson

deteriorating

1976 Tim Kneale

narcolepsy

1935

Clara Mohler

intelligible

1977 John Paola

cambist

1936

Jean Trowbridge

interning

1978 Peg McCarthy

deification

1937

Waneeta Beckley

promiscuous

1979 Katie Kerwin

maculature

1938

Marian Richardson

sanitarium

1980 Jacques Bailly

elucubrate

1939

Elizabeth Ann Rice

canonical

1981 Paige Pipkin

sarcophagus

1940

Laurel Kuykendall

therapy

1982 Molly Dieveney

psoriasis

1941

Louis Edward Sissman

initials

1983 Blake Giddens

Purim

1942

Richard Earnhart

sacrilegious

1984 Daniel Greenblatt

luge

1943-

45

not held

1985 Balu Natarajan

milieu

1946

John McKinney

semaphore

1986 Jon Pennington

odontalgia

1947

Mattie Lou Pollard

chlorophyll

1987 Stephanie Petit

staphylococci

1948

Jean Chappelear

psychiatry

1988 Rageshree Ramachandran

elegiacal

1949

Kim Calvin

dulcimer

1989 Scott Isaacs

spoliator

1950

Diana Reynard;

meticulosity

1990 Amy Marie Dimak

fibranne

 

Colquitt Dean (tied)

 

1991 Joanne Lagatta

antipyretic

1951

Irving Belz

insouciant

1992 Amanda Goad

lyceum

1952

Doris Ann Hall

vignette

1993 Geoff Hooper

kamikaze

1953

Elizabeth Hess

soubrette

1994 Ned G. Andrews

antediluvian

1954

William Cashore

transept

1995 Justin Tyler Carroll

xanthosis

1955

Sandra Sloss

crustaceology

1996 Wendy Guey

vivisepulture

1956

Melody Sachko

condominium

1997 Rebecca Sealfon

euonym

1957

Sandra Owen;

 

1998 Jody-Anne Maxwell

chiaroscurist

 

Dana Bennett (tied)

schappe

1999 Nupur Lala

logorrhea

1958

Jolitta Schlehuber

syllepsis

2000 George Abraham Thampy

demarche

1959

Joel Montgomery

catamaran

2001 Sean Conley

succedaneum

1960

Henry Feldman

eudaemonic

2002 Pratyush Buddiga

prospicience

1961

John Capehart

saragdine

2003 Sai R. Gunturi

pococurante

1962

Nettie Crawford;

 

2004 David Tidmarsh

autochthonous

 

Michael Day (tied)

esquamulose

2005 Anurag Kashyap

appoggiatura

1963

Glen Van Slyke III

equipage

2006 Kerry Close

Ursprache

1964

William Kerek

sycophant

2007 Evan M. O’Dorney

serrefine

1965

Michael Kerpan, Jr.

eczema

2008 Sameer Mishra

guerdon

1966

Robert A. Wake

ratoon

 

 

In the waning minutes of his only TV debate with Democratic incumbent Jimmy Carter in 1980, Ronald Reagan looked straight into the camera and asked, “Are you better off than you were four years ago?” It was a defining question of the campaign—and of late 20th-century American politics. It was also pretty easy to answer. The “misery index,” a then-popular measure that added the unemployment rate to the inflation rate, had skyrocketed during Carter’s tenure. Taxes had risen sharply. There were other issues on voters’ minds, like the Iranian hostage crisis and those dang cardigans Carter used to wear. But the economy was crucial to Reagan’s victory. After taking office, he responded by ushering in a new era in economic policy—cutting tax rates, slashing regulation, and tirelessly preaching the gospel that individual Americans were better suited to make economic decisions than bureaucrats in Washington were.

This election year, the economy has again been at the forefront of voters’ minds.

The misery index is no longer the problem; at 9% and change at midyear, it was miles below the 20% of late 1980. But Americans have a new menu of economic woes—among them a real-estate crash, a credit crisis, a broken health care system, and nagging job insecurity. Poll after poll show a vast majority convinced that the economy and the country are headed in the wrong direction. And that is a problem for the Republican Party: history shows that slow economic growth is among the best predictors of a change in party control of the White House—and in 2008 the economy has barely grown at all.

The bigger issue for voters to wrestle with, though, is not what the economy can do to the presidential race but what the next president can do to the economy. Usually it’s not so much. But every once in a while, like when Franklin Delano Roosevelt was elected in 1932 and Reagan in 1980, the effect can be dramatic. Reagan’s policies, together with some luck and the inflation-killing zeal of Federal Reserve Chairman Paul Vol-cker, helped the US economy break out of its 1970s malaise into a new era of flexibility, innovation, and growth. Subsequent presidents, even Democrat Bill Clinton, followed more or less in Reagan’s footsteps.

Economic eras don’t last forever, though, and there are signs that the current slowdown is a harbinger of something bigger: an end to America’s 25-year love affair with tax cuts and deregulation. A lot of the cracks that have emerged during that time have become impossible to ignore—stagnant incomes, a federal budget gone way out of balance, soaring energy prices, a once-in-a-lifetime housing crash, and growing financial risks in retirement and from health care.

What it adds up to is a generalized sense of economic insecurity that has dimmed many Americans’ optimism about their future. So there’s a chance that the 2008 election could turn out to be a major economic turning point, just like 1980′s was. Economic trouble begets economic change. Here’s what may be in the offing.

America Needs a Raise. If you feel as if you’ve been going backward, you haven’t been imagining it. According to the US Census Bureau, the median American family made US$58,407 in 2006. That’s US$991 less, when you adjust for inflation, than the median in 2000, and indications are that things haven’t gotten any better in 2007 or this year.

Recessions—like the one in 2001 and the one we might be in now—always reduce incomes. The problem since 2000 is that even when the economy was growing, the fruits of that growth landed almost exclusively in the pockets of the wealthiest Americans. According to economists Thomas Piketty and Emanuel Saez, 75% of all income gains from 2002 to 2006 went to the top 1%—households making more than US$382,600 a year.

The gap between high and low earners has been growing since the late 1970s, and until recently, economists attributed virtually all of it to technological and demographic changes that increased the premium paid to those with advanced skills and education. If that were true, the only answer would lie along the arduous path of improving the education and skill levels of American workers. And you certainly wouldn’t want to discourage people from getting an education by heavily taxing the rewards for it.

But according to Piketty and Saez, the really dramatic gains have all been at the very, very top—not the top 1% but the top 0.01%, who now control 5.46% of all income, their highest share on record. (The data go back to 1913.) Most of these people are well educated, but it’s awfully hard to portray their riches purely as rewards for education or skill.

Many economists now believe at least two other factors have contributed to the growth in inequality: globalization and Reagan’s big cuts in taxes on the rich. Even as it rewards those at the top of their fields worldwide with spectacular paydays, globalization holds down earnings for millions of Americans who compete with workers overseas—not only lower-skilled factory and phone-center workers but also engineers, lawyers, and doctors. Public opinion has reacted to this with increasing distrust of free trade, a wariness that has been evident during the election campaign. But this is touchy territory: trade may distort the income distribution, but economists remain almost unanimous in warning that restricting trade would slow overall growth.

To the extent they talk about it at all, the two parties take different approaches to closing the income gap. Democrat Barack Obama in particular is explicit about wanting to shift more of the income-tax burden away from the middle class and onto those making more than US$200,000 a year, while Republican John McCain speaks mainly about creating better job-retraining programs for those displaced by globalization. Another potential path, though it hasn’t been a major theme in the campaign as of late summer, would be a big effort to repair the country’s crumbling infrastructure—which would create lots of jobs that couldn’t be outsourced overseas and would also deliver long-term economic benefits. In any case, the income gap is an issue that’s been danced around for too long. It’s time to address it.

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