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Facts in Focus - Population Reference Bureau
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"/> 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<option value="c:29">Nigeria</option> <option value="c:184">Norway</option> <option value="c:130">Oman</option> <option value="c:148">Pakistan</option> <option value="c:236">Palau</option> <option value="c:136">Palestinian Territory</option> <option value="c:82">Panama</option> <option value="c:237">Papua New Guinea</option> <option value="c:112">Paraguay</option> <option value="c:113">Peru</option> <option value="c:161">Philippines</option> <option value="c:203">Poland</option> <option value="c:219">Portugal</option> <option value="c:96">Puerto Rico</option> <option value="c:131">Qatar</option> <option value="c:45">Reunion</option> <option value="c:204">Romania</option> <option value="c:205">Russia</option> <option value="c:46">Rwanda</option> <option value="c:242">Samoa</option> <option value="c:220">San Marino</option> <option value="c:62">Sao Tome and Principe</option> <option value="c:132">Saudi Arabia</option> <option value="c:30">Senegal</option> <option 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<option value="c:49">Tanzania</option> <option value="c:163">Thailand</option> <option value="c:156">Timor-Leste</option> <option value="c:32">Togo</option> <option value="c:239">Tonga</option> <option value="c:102">Trinidad and Tobago</option> <option value="c:14">Tunisia</option> <option value="c:134">Turkey</option> <option value="c:151">Turkmenistan</option> <option value="c:240">Tuvalu</option> <option value="c:50">Uganda</option> <option value="c:207">Ukraine</option> <option value="c:135">United Arab Emirates</option> <option value="c:186">United Kingdom</option> <option value="c:72">United States</option> <option value="c:115">Uruguay</option> <option value="c:152">Uzbekistan</option> <option value="c:241">Vanuatu</option> <option value="c:116">Venezuela</option> <option value="c:164">Vietnam</option> <option value="c:15">Western Sahara</option> <option value="c:137">Yemen</option> <option value="c:51">Zambia</option> <option value="c:52">Zimbabwe</option> </select> </div> <br/> <div id="ctl15_ctl06_ctl05_pnlSuper"> <div id="browsebox3" style="TEXT-ALIGN: left">QUICK LINKS</div> <table cellspacing="0" cellpadding="0" width="225" bgcolor="#efebde" border="0"> <tbody> <tr> <td valign="top" align="left"><a href="https://web.archive.org/web/20091007223244/http://www.prbblog.org/"><img hspace="6" src="/web/20091007223244im_/http://www.prb.org/images08/blogart.gif" border="0"/></a></td> <td class="featuretextsmall" valign="top" align="left"><strong><a href="https://web.archive.org/web/20091007223244/http://www.prbblog.org/"><strong>PRB Blog </strong></a></strong><br/>Read and respond to what PRB colleagues are thinking about—Behind the Numbers</td></tr> <tr> <td valign="top" align="left" colspan="2"><img height="2" alt="Divider" src="/web/20091007223244im_/http://www.prb.org/images/browsedivider.gif" width="225" vspace="5"/></td></tr> <tr> <td valign="top" align="left"><a href="https://web.archive.org/web/20091007223244/http://discuss.prb.org/"><img hspace="6" 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</strong></a></strong><br/>Current research results and their implications</td></tr> <tr> <td valign="top" align="left" colspan="2"><img height="2" alt="Divider" src="/web/20091007223244im_/http://www.prb.org/images/browsedivider.gif" width="225" vspace="5"/></td></tr> <tr> <td valign="top" align="left"><a href="https://web.archive.org/web/20091007223244/http://www.phishare.org/"><img hspace="6" src="/web/20091007223244im_/http://www.prb.org/images/quicklinks/thumb5.gif" border="0"/></a></td> <td class="featuretextsmall" valign="top" align="left"><strong><a href="https://web.archive.org/web/20091007223244/http://www.phishare.org/"><strong>InfoShare > </strong></a></strong><br/>Electronic library for reproductive and child health, HIV/AIDS, and population</td></tr> <tr> <td valign="top" align="left" colspan="2"><img height="2" alt="Divider" src="/web/20091007223244im_/http://www.prb.org/images/browsedivider.gif" width="225" vspace="5"/></td></tr> <tr> <td valign="top" align="left"><a href="https://web.archive.org/web/20091007223244/http://www.igwg.org/"><img hspace="6" src="/web/20091007223244im_/http://www.prb.org/images/quicklinks/thumb6.gif" border="0"/></a></td> <td class="featuretextsmall" valign="top" align="left"><strong><a href="https://web.archive.org/web/20091007223244/http://www.igwg.org/"><strong>IGWG > </strong></a></strong><br/>Tools to promote gender equity programs worldwide</td></tr> <tr> <td valign="top" align="left" colspan="2"><img height="2" alt="Divider" src="/web/20091007223244im_/http://www.prb.org/images/browsedivider.gif" width="225" vspace="5"/></td></tr> <tr> <td valign="top" align="left"><a href="https://web.archive.org/web/20091007223244/http://www.dcp2.org/"><img hspace="6" src="/web/20091007223244im_/http://www.prb.org/images/quicklinks/thumb7.gif" border="0"/></a></td> <td class="featuretextsmall" valign="top" align="left"><strong><a href="https://web.archive.org/web/20091007223244/http://www.dcp2.org/"><strong>DCPP > </strong></a></strong><br/>Evidence-based analyses to inform health policymaking in developing countries.</td></tr> <tr> <td valign="top" align="left" colspan="2"><img height="2" alt="Divider" src="/web/20091007223244im_/http://www.prb.org/images/browsedivider.gif" width="225" vspace="5"/></td></tr></tbody></table> </div> </div> <!--googleon: all--> <p><br/> <div id="featuredlinksbox"> <div id="ctl15_ctl08_ctl01_pnlTitle"> <div id="titles"><span class="titletext">Facts in Focus</span></div> </div> <div id="ctl15_ctl08_ctl01_contentBody"> <h2>Resource Guide for the World Population Data Sheet</h2><p>(November 2006) PRB's World Population Data Sheet is an excellent reference and data analysis tool. Teachers are encouraged to have their students use the data sheet for a variety of topics and activities. The following are a series of short activities to provide access to the wealth of data on the world, regions, and individual countries.<strong>Grade Level:</strong> 6–12</p><p><strong>Time Required:</strong> one class period for each activity</p><p><strong>Standards Addressed:</strong> Math and geography</p><p><strong>Vocabulary/Concepts:</strong> population size, rate of natural increase, birth rate, death rate, infant mortality rate, total fertility rate, life expectancy, age distribution</p><p><strong>Objectives:</strong> </p><ul><li>ask geographic questions about the population characteristics of a country </li><li>acquire information about the key population characteristics of a country, by using the World Population Data Sheet </li><li>organize population information about a country </li><li>compare and contrast population characteristics of selected countries. </li></ul><p><strong>Materials:</strong> </p><ul><li>All activities: World Population Data Sheet (<a href="/web/20091007223244/http://www.prb.org/Publications/Datasheets/2006/2006WorldPopulationDataSheet.aspx">PDF: 304KB</a>) </li><li>Activity 2: County Profile Worksheet (<a href="/web/20091007223244/http://www.prb.org/pdf/wpdswork.pdf">PDF: 23KB</a>) </li><li>Activity 5: Country Outline Map (<a href="/web/20091007223244/http://www.prb.org/pdf/blankWORLDmap.pdf">PDF: 94 KB</a>) </li></ul><h2><a href="about:blank" name="I"></a>Activity 1: The World Population Data Sheet at a Glance</h2><p>Find answers to the following questions using the current World Population Data Sheet.</p><ol><li>What is the population of the world? </li><li>Rank the ten countries with the largest population (from largest to smallest). </li><li>Instead of absolute numbers, rates are often used to tell how frequently a population or demographic event is occurring — rates show how common an event is. List the type of information on the data sheet reported by a rate. </li><li>The crude death rate (CDR) is the annual number of deaths per 1,000 population. Which country has the highest CDR? Which country has the lowest? </li><li>The infant mortality rate measures the number of deaths each year to infants under one year of age per 1,000 live births. Which country has the highest infant mortality rate and what is that rate? Which country has the lowest and what is that rate? </li><li>The total fertility rate (TFR) is the average number of children women would have if they maintained the current level of childbearing throughout their reproductive years. Which countries share the highest TFR and what is it? Several countries share the lowest TFR. What is it? </li><li>Which country has the "youngest" population, that is, the highest proportion of population under age 15? Which country has the "oldest" population, that is, the highest proportion of population over age 64? </li><li>In which country are people expected to live the longest? Which country has the lowest life expectancy? </li><li>In which African country does the highest proportion of people live in urban areas? In Asia? In Latin America? In Europe? In Oceania? </li><li>Gross national income in purchasing power parity per capita (GNI PPP) converts income into "international dollars" and indicates the amount of goods and services one could buy in the United States with a given amount of money. Which country is the wealthiest in terms of GNI PPP? Which is the second wealthiest? </li><li>A population grows because there are more births than deaths or more people are moving in than moving out. The difference between births and deaths is expressed as a percentage called the rate of natural increase. Which region is growing the fastest through natural increase? Which region is growing at the slowest rate? </li><li>Which country is growing the fastest through natural increase? Which country is growing at the slowest rate? </li><li>A population projection is a computation of future changes in population numbers based on assumptions about future trends in fertility, mortality, and migration. Which categories on the data sheet are shown as projections? </li><li>Rank the ten countries with the largest projected populations for both 2025 and 2050 (from largest to the smallest). <ol type="a" compact="true"></ol></li></ol><ul class="openbullet"><li>Which country's/countries' population is projected to drop out of the top ten by 2050? Which country/countries is projected to be added to the top ten? </li><li>Look back to the rankings for the current year. What are the major shifts in this ranking from now to 2050? </li></ul><ol start="15"><li>Rank the regions according to population size (from largest to the smallest). </li></ol><h2>Activity 2: Profiling a Country </h2><p>The purpose of this activity is to introduce students to the demographic indicators listed on the Data Sheet by providing them with a tool to organize population information about a country. As students study different countries they can accumulate country profiles in their notebook. Students will need to use the World Population Data Sheet and the Country Profile Worksheet.</p><ol><li>Use an overhead projector to display the Country Profile Worksheet. Distribute blank copies to students. Complete the profile of the United States, defining the indicators as they are mapped out on the worksheet. After completing the "country comparison blocks," discuss. </li><li>Have students place a copy of the U.S. profiles in their notebooks. Have students complete a new profile each time they start a unit on a new country. Before they do the profile of the new country, students should develop hypotheses about the population characteristics about the country and use the mapping activity to test their hypotheses. They should compare the profile of each new country with the profile of the United States. </li><li>As students learn more about the country, they can add other information from the Data Sheet (or other sources) to their profiles. </li></ol><p><i>This lesson was adapted from a lesson developed by Jane Moriarty of the Michigan Geographic Alliance.</i> </p><h2>Activity 3: Figure It Out </h2><p>Use the current World Population Data Sheet to complete the following:</p><ol><li>China and India have the largest populations in the world. Which of these two countries adds more people to its population annually? [Calculate numbers added by applying the rate of natural increase to the population of the country.] How many people does each country add annually? How many people would India add if it shared this country's rate of natural increase? </li><li>What proportion of the world's people live in Africa? In Asia? In North America? In Latin America? In Europe? In Oceania? What are the projected proportions? Draw a bar chart showing the regional distributions of the world's population for this year, 2025 and 2050. </li><li>What proportion of the world's people live in less developed countries (LDCs) in the current year? In more developed countries (MDCs)? What proportion of the world's people is projected to live in LDCs in 2025? In 2050? What proportion is projected to live in MDCs in 2025? In 2050? </li><li>Examine the crude birth rate, crude death rate, and rate of natural increase of any three countries listed on the World Population Data Sheet. Devise a formula to calculate the rate of natural increase based on the relationships observed. </li></ol><h2>Activity 4: Analyzing Data</h2><p>Use the current World Population Data Sheet to complete the following:</p><ol><li>Choose four countries whose populations are growing at a 1.0 percent rate of natural increase or less (some with negative rates of natural increase are decreasing). </li><li>Choose four countries whose populations are growing at 3.0 percent or more. Do not include the countries of Western Asia or the Middle East because they represent special cases and will be discussed later. </li><li>Create a table which includes the following data for each of the above selected countries: infant mortality rate, total fertility rate, population under age 15, life expectancy, percent of urban population, and Gross National Income in purchasing power parity per capita (GNI PPP). Examine the table created above for important differences, and note what you observe for each variable by group. For example: <table cellpadding="5" border="1"> <tbody> <tr> <td width="33%" bgcolor="#cecfce"></td> <td align="center" width="33%" bgcolor="#cecfce"><font size="1"><b>High-Growth Countries</b></font> </td> <td align="center" width="34%" bgcolor="#cecfce"><font size="1"><b>Low-Growth Countries</b></font> </td></tr> <tr> <td width="33%" bgcolor="#cecfce"><font size="1"><b>Infant Mortality</b></font> </td> <td width="33%"><font size="1">High infant mortality</font> </td> <td width="34%"><font size="1">Low infant mortality</font> </td></tr> <tr> <td width="33%" bgcolor="#cecfce"><font size="1"><b>Total Fertility</b></font> </td> <td width="33%"></td> <td width="34%"></td></tr> <tr> <td width="33%" bgcolor="#cecfce"><font size="1"><b>Population Under 15</b></font> </td> <td width="33%"></td> <td width="34%"></td></tr> <tr> <td width="33%" bgcolor="#cecfce"><font size="1"><b>Life Expectancy</b></font> </td> <td width="33%"></td> <td width="34%"></td></tr> <tr> <td width="33%" bgcolor="#cecfce"><font size="1"><b>Urban Population</b></font> </td> <td width="33%"></td> <td width="34%"></td></tr> <tr> <td width="33%" bgcolor="#cecfce"><font size="1"><b>Per Capita GNI PPP</b></font> </td> <td width="33%"></td> <td width="34%"></td></tr></tbody></table>Compare the characteristics for the above groups with countries that have a moderate rate of population growth. </li><li>Describe how some countries such as Saudi Arabia and some of the oil-rich countries are exceptions to the generalizations you have made about fast-growing countries. Why are they different? </li></ol><h2>Activity 5: Mapping the Data</h2><p>Mapping data is often a good method for analysis. Most of the demographic characteristics on the World Population Data Sheet lend themselves to mapping. A map that uses color to represent quantitative data is called a choropleth map. Areas are distinguished from one another using different colors or different shades of the same color based on the values they represent. Brighter colors or dark shades of the same color indicate greater values and dimmer colors or lighter shades indicate lesser values.</p><p>Choose one of the following demographic variables using the World Population Data Sheet and an atlas, map the world or regional distribution of that indicator:</p> <table cellpadding="5" border="0"> <tbody> <tr> <td align="center" width="33%"><font size="1">Infant Mortality</font> </td> <td align="center" width="33%"><font size="1">Crude Birth Rate</font> </td> <td align="center" width="34%"><font size="1">Crude Death Rate</font> </td></tr> <tr> <td align="center" width="33%"><font size="1">Total Fertility Rate</font> </td> <td align="center" width="33%"><font size="1">Percent 65 and Over</font> </td> <td align="center" width="34%"><font size="1">Percent Under Age 15</font> </td></tr> <tr> <td valign="top" align="center" width="33%"><font size="1">Per Capita GNI PPP</font> </td> <td valign="top" align="center" width="33%"><font size="1">Life Expectancy</font> </td> <td align="center" width="34%"><font size="1">Rate of Natural Increase</font> </td></tr></tbody></table><p><b>Create a choropleth map: Country Outline Map</b> </p><ol><li>Determine the mapping categories by finding the range of values for that indicator. Determine the number of categories to be used for your map and the interval of each category. For example:</li></ol><ol class="lowerbullet"><li>After choosing the variable, determine the highest and lowest values for that measure. </li><li>Subtract these two numbers in order to calculate the range for the data. </li><li>Divide the range by the number of mapping categories planned for the map. Four to five categories will be adequate for most measures. The number produced by the division will indicate how many numbers to include in each category interval. </li><li>Always construct categories so that the numbers in one category do not overlap those in adjacent categories.</li></ol><ol start="2"><li>Arrange a color code or shading pattern for each category. Colors or patterns should increase from light to dark, from lowest to highest category. </li><li>Determine the proper mapping category for each country and color or shade the country on an outline map Title the map, place a legend on the page, and indicate the source. </li></ol><p><b>Interpret the map</b></p><p>After the map has been drawn, consider the following to guide interpretation: </p><ol><li>Describe the patterns observed on the map. </li><li>What accounts for the variation? </li><li>Discuss the factors that could lead to the range of outcomes within this distribution. </li></ol><p><b>Draw another map</b></p><p>Draw another map to examine the relationships that may exist between two variables or compare results with another student who has mapped a different variable. Possible pairs of variables to compare: </p><ul>Infant Mortality — Life Expectancy<br/>Natural Increase — Total Fertility<br/>Crude Death Rate — Percent of Population Under Age 15<br/>Crude Birth Rate — Percent of Population Over 64<br/>Infant Mortality — Per Capita GNI PPP </ul><p>Answer the following: </p><ol><li>Does there appear to be a relationship between the two variables? If so, is the relationship positive of negative? For example, are the countries with the highest rates of one variable the same countries with the highest rates of the other variable? If so, then the relationship is positive. If the countries with the highest rate of one variable also have the lowest rates in another, then the relationship is negative. </li><li>Discuss whether or not the factors that contribute to the patterns in one variable affect the patterns in another. </li></ol><p><i>This activity was adapted from exercises submitted by Eugene J. Kinerney of the University of the District of Columbia and Basheer K. Nijim of the University of Northern Iowa.</i></p></div> <div id="ctl15_ctl08_ctl01_debug"></div> </div> <div align="left"></div> </p> </div> </div> </div> <br/><br/> <!--googleoff: all--> <div align="center" style="clear: both"> <p> </p> <div align="center" id="ftr"><img src="/web/20091007223244im_/http://www.prb.org/images/footer2.gif" width="3" height="23" align="right"/><img src="/web/20091007223244im_/http://www.prb.org/images/footer1.gif" width="3" height="23" align="left"/><span class="footertext">Services: <a href="/web/20091007223244/http://www.prb.org/Rss.aspx">RSS Feeds</a> · <a href="/web/20091007223244/http://www.prb.org/Home/EmailSignup.aspx">Get E-Mail News</a> · <a href="/web/20091007223244/http://www.prb.org/Join.aspx">Join/Renew Membership</a> · <a href="/web/20091007223244/http://www.prb.org/Donate.aspx">Donate</a> · <a href="/web/20091007223244/http://www.prb.org/Bookstore.aspx">Bookstore</a> · <a href="/web/20091007223244/http://www.prb.org/Home/Contact.aspx">Contact</a> · <a href="/web/20091007223244/http://www.prb.org/SpanishContent.aspx">Español</a> · <a href="/web/20091007223244/http://www.prb.org/FrenchContent.aspx">Français</a></span></div> <span class="footer2text"><b>Copyright 2009, Population Reference Bureau.</b> All rights reserved. • <a href="/web/20091007223244/http://www.prb.org/Home/Privacy.aspx">Privacy Policy</a></span><br/> <span class="footer2text">1875 Connecticut Avenue, NW • Suite 520 • Washington, DC 20009-5728 • USA <br/> <b>Phone:</b> 800-877-9881 • <b>Fax:</b> 202-328-3937 • <b>E-mail:</b> <a href="https://web.archive.org/web/20091007223244/mailto:popref@prb.org">popref@prb.org</a></span><br/> </div> <span class="footer2text"> <!-- left column --> </span> <span class="footer2text"> <!-- end of left column --> <!-- right column --> </span> <!--googleon: all--> </form> <div id="debugdiv"> </div> <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? 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