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Paul Ehrlich: Population, development and the poor.

• Authors : Ehrlich, Paul¹; Ehrlich, Anne

Subjects: *BIRTH control; *POPULATION forecasting; *POPULATIONUNITED States

• Source: New Scientist. 9/26/2009, Vol. 203 Issue 2727, p36-37. 2p.

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Visions of 2020.

• Authors : Emmott, Bill

Subjects: *ECONOMIC forecasting; *DEMOGRAPHIC change; *LABOR supplyJAPAN

• Source: Economist. 10/8/2005, Vol. 377 Issue 8447, Special section p16-18. 3p. 1 Color Photograph, 1 Graph.

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ON LOGISTIC GROWTH MODEL FOR FORECASTING NIGERIA'S POPULATION.

• Authors : Samuel, Agog Nathan¹ ; Sunday, Bako Samuel¹; Ardo, Bamanga Muhammad¹

Subjects: *POPULATION forecasting; *OVERPOPULATION; *ECONOMIC developmentNIGERIA

• Source: Science World Journal. 2020, Vol. 15 Issue 4, p112-115. 4p.

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Urban Texas Expansion.

• Authors : PERRYMAN, M. RAY

Subjects: URBAN growth; POPULATION forecasting; U.S. Census BureauSAN Antonio (Tex.); DALLAS (Tex.); FRISCO (Tex.)

• Source: Fort Worth Business Press. 6/11/2018, Vol. 30 Issue 19, p22-22. 1/2p.

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Population Resources and Technology.

• Authors : Brown, Harris S.

Subjects: *Demography; Population forecasting; Population geography

• Source: BioScience. Jan1968, Vol. 18 Issue 1, p31-33. 3p. 1 Black and White Photograph.

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Let's think bigger to benefit Valley's economy.

• Authors : Meyer, William E.

Subjects: *ECONOMIC development; *DEMOGRAPHIC surveys; *POPULATION forecastingFRESNO (Calif.); CALIFORNIA

• Source: Business Journal Serving Fresno & the Central San Joaquin Valley. 4/24/2009, Issue 324014, p34-34. 1/2p.

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No rise in Tibet's population despite massive Han influx?

Subjects: *POPULATION forecasting; *POPULATION policy; *TOURISTSTIBET (China); CHINA

• Source: Tibetan Review: The Monthly Magazine on all Aspects of Tibet. Dec2007, Vol. 42 Issue 12, p8-8. 1/4p.

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Human population hits a milestone.

• Authors : Gasparini, Allison (AUTHOR)

Subjects: HUMAN beings; HIGH-income countries; INTERAGENCY coordination

• Source: Science News. 12/17/2022, Vol. 202 Issue 11, p5-5. 1/2p. 1 Color Photograph.

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Predicting population age structures of China, India, and Vietnam by 2030 based on compositional data.

• Authors : Wei, Yigang; Wang, Zhichao; Wang, Huiwen

Subjects: MIDDLE-aged persons; POPULATION aging; STANDARD deviationsVIETNAM; INDIA; CHINA

• Source: PLoS ONE; 4/12/2019, Vol. 14 Issue 4, p1-42, 42p

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Healthy Old Europe.

• Authors : Eberstadt, Nicholas; Groth, Hans

Subjects: ECONOMIC conditions in Europe, 1945-; LIFE expectancy; PRODUCTIVE life spanEUROPE

• Source: Foreign Affairs. May/Jun2007, Vol. 86 Issue 3, p55-68. 14p.

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