World
2024-08-11
Data-Sets
We have a World Population data-set consisting records of population from the year 1960 to 2023.
Total Polulation data-set
Dimension of the data-set
[1] 217 68• SP.POP.TOTL (Population,total)
• It has 217 rows and 64 columns.
[1] "Country.Name" "Country.Code" "Indicator.Name" "Indicator.Code"
[5] "X1960" "X1961" "X1962" "X1963"
[9] "X1964" "X1965" "X1966" "X1967"
[13] "X1968" "X1969" "X1970" "X1971"
[17] "X1972" "X1973" "X1974" "X1975"
[21] "X1976" "X1977" "X1978" "X1979"
[25] "X1980" "X1981" "X1982" "X1983"
[29] "X1984" "X1985" "X1986" "X1987"
[33] "X1988" "X1989" "X1990" "X1991"
[37] "X1992" "X1993" "X1994" "X1995"
[41] "X1996" "X1997" "X1998" "X1999"
[45] "X2000" "X2001" "X2002" "X2003"
[49] "X2004" "X2005" "X2006" "X2007"
[53] "X2008" "X2009" "X2010" "X2011"
[57] "X2012" "X2013" "X2014" "X2015"
[61] "X2016" "X2017" "X2018" "X2019"
[65] "X2020" "X2021" "X2022" "X2023" Female Population data-set
Dimension of the data-set
[1] 217 68• SP.POP.TOTL.FE.IN (Population,female)
• It has 217 rows and 64 columns.
[1] "Country.Name" "Country.Code" "Indicator.Name" "Indicator.Code"
[5] "X1960" "X1961" "X1962" "X1963"
[9] "X1964" "X1965" "X1966" "X1967"
[13] "X1968" "X1969" "X1970" "X1971"
[17] "X1972" "X1973" "X1974" "X1975"
[21] "X1976" "X1977" "X1978" "X1979"
[25] "X1980" "X1981" "X1982" "X1983"
[29] "X1984" "X1985" "X1986" "X1987"
[33] "X1988" "X1989" "X1990" "X1991"
[37] "X1992" "X1993" "X1994" "X1995"
[41] "X1996" "X1997" "X1998" "X1999"
[45] "X2000" "X2001" "X2002" "X2003"
[49] "X2004" "X2005" "X2006" "X2007"
[53] "X2008" "X2009" "X2010" "X2011"
[57] "X2012" "X2013" "X2014" "X2015"
[61] "X2016" "X2017" "X2018" "X2019"
[65] "X2020" "X2021" "X2022" "X2023" Male Population data-set
Dimension of the data-set
[1] 217 68• SP.POP.TOTL.MA.IN (Population,male)
• It has 217 rows and 64 columns.
[1] "Country.Name" "Country.Code" "Indicator.Name" "Indicator.Code"
[5] "X1960" "X1961" "X1962" "X1963"
[9] "X1964" "X1965" "X1966" "X1967"
[13] "X1968" "X1969" "X1970" "X1971"
[17] "X1972" "X1973" "X1974" "X1975"
[21] "X1976" "X1977" "X1978" "X1979"
[25] "X1980" "X1981" "X1982" "X1983"
[29] "X1984" "X1985" "X1986" "X1987"
[33] "X1988" "X1989" "X1990" "X1991"
[37] "X1992" "X1993" "X1994" "X1995"
[41] "X1996" "X1997" "X1998" "X1999"
[45] "X2000" "X2001" "X2002" "X2003"
[49] "X2004" "X2005" "X2006" "X2007"
[53] "X2008" "X2009" "X2010" "X2011"
[57] "X2012" "X2013" "X2014" "X2015"
[61] "X2016" "X2017" "X2018" "X2019"
[65] "X2020" "X2021" "X2022" "X2023" Checking for the missing values
[1] 0[1] 0[1] 0Dropping unneccesary columns from the data-sets
Country Names
[1] "Afghanistan" "Albania"
[3] "Algeria" "American Samoa"
[5] "Andorra" "Angola"
[7] "Antigua and Barbuda" "Argentina"
[9] "Armenia" "Aruba"
[11] "Australia" "Austria"
[13] "Azerbaijan" "Bahamas, The"
[15] "Bahrain" "Bangladesh"
[17] "Barbados" "Belarus"
[19] "Belgium" "Belize"
[21] "Benin" "Bermuda"
[23] "Bhutan" "Bolivia"
[25] "Bosnia and Herzegovina" "Botswana"
[27] "Brazil" "British Virgin Islands"
[29] "Brunei Darussalam" "Bulgaria"
[31] "Burkina Faso" "Burundi"
[33] "Cabo Verde" "Cambodia"
[35] "Cameroon" "Canada"
[37] "Caribbean small states" "Cayman Islands"
[39] "Central African Republic" "Central Europe and the Baltics"
[41] "Chad" "Channel Islands"
[43] "Chile" "China"
[45] "Colombia" "Comoros"
[47] "Congo, Dem. Rep." "Congo, Rep."
[49] "Costa Rica" "Cote d'Ivoire"
[51] "Croatia" "Cuba"
[53] "Curacao" "Cyprus"
[55] "Czechia" "Denmark"
[57] "Djibouti" "Dominica"
[59] "Dominican Republic" "Ecuador"
[61] "Egypt, Arab Rep." "El Salvador"
[63] "Equatorial Guinea" "Eritrea"
[65] "Estonia" "Eswatini"
[67] "Ethiopia" "Faroe Islands"
[69] "Fiji" "Finland"
[71] "France" "French Polynesia"
[73] "Gabon" "Gambia, The"
[75] "Georgia" "Germany"
[77] "Ghana" "Gibraltar"
[79] "Greece" "Greenland"
[81] "Grenada" "Guam"
[83] "Guatemala" "Guinea"
[85] "Guinea-Bissau" "Guyana"
[87] "Haiti" "Honduras"
[89] "Hong Kong SAR, China" "Hungary"
[91] "Iceland" "India"
[93] "Indonesia" "Iran, Islamic Rep."
[95] "Iraq" "Ireland"
[97] "Isle of Man" "Israel"
[99] "Italy" "Jamaica"
[101] "Japan" "Jordan"
[103] "Kazakhstan" "Kenya"
[105] "Kiribati" "Korea, Dem. People's Rep."
[107] "Korea, Rep." "Kosovo"
[109] "Kuwait" "Kyrgyz Republic"
[111] "Lao PDR" "Latvia"
[113] "Lebanon" "Lesotho"
[115] "Liberia" "Libya"
[117] "Liechtenstein" "Lithuania"
[119] "Luxembourg" "Macao SAR, China"
[121] "Madagascar" "Malawi"
[123] "Malaysia" "Maldives"
[125] "Mali" "Malta"
[127] "Marshall Islands" "Mauritania"
[129] "Mauritius" "Mexico"
[131] "Micronesia, Fed. Sts." "Moldova"
[133] "Monaco" "Mongolia"
[135] "Montenegro" "Morocco"
[137] "Mozambique" "Myanmar"
[139] "Namibia" "Nauru"
[141] "Nepal" "Netherlands"
[143] "New Caledonia" "New Zealand"
[145] "Nicaragua" "Niger"
[147] "Nigeria" "North Macedonia"
[149] "Northern Mariana Islands" "Norway"
[151] "Oman" "Pakistan"
[153] "Palau" "Panama"
[155] "Papua New Guinea" "Paraguay"
[157] "Peru" "Philippines"
[159] "Poland" "Portugal"
[161] "Puerto Rico" "Qatar"
[163] "Romania" "Russian Federation"
[165] "Rwanda" "Samoa"
[167] "San Marino" "Sao Tome and Principe"
[169] "Saudi Arabia" "Senegal"
[171] "Serbia" "Seychelles"
[173] "Sierra Leone" "Singapore"
[175] "Sint Maarten (Dutch part)" "Slovak Republic"
[177] "Slovenia" "Solomon Islands"
[179] "Somalia" "South Sudan"
[181] "Spain" "Sri Lanka"
[183] "St. Kitts and Nevis" "St. Lucia"
[185] "St. Martin (French part)" "St. Vincent and the Grenadines"
[187] "Sudan" "Suriname"
[189] "Sweden" "Switzerland"
[191] "Syrian Arab Republic" "Tajikistan"
[193] "Tanzania" "Thailand"
[195] "Timor-Leste" "Togo"
[197] "Tonga" "Trinidad and Tobago"
[199] "Tunisia" "Turkiye"
[201] "Turkmenistan" "Turks and Caicos Islands"
[203] "Tuvalu" "Uganda"
[205] "Ukraine" "United Arab Emirates"
[207] "United Kingdom" "United States"
[209] "Uruguay" "Uzbekistan"
[211] "Vanuatu" "Venezuela, RB"
[213] "Viet Nam" "Virgin Islands (U.S.)"
[215] "Yemen, Rep." "Zambia"
[217] "Zimbabwe" Total top 20 countries
1960
TOTAL POPULATION
[1] "Top 20 countries of total population"
FEMALE POPULATION
[1] "Top 20 countries of total population"
MALE POPULATION
[1] "Top 20 countries of total population"
1990
TOTAL POPULATION
[1] "Top 20 countries of total population"
FEMALE POPULATION
[1] "Top 20 countries of female population"
MALE POPULATION
[1] "Top 20 countries of female population"
2023
TOTAL POPULATION
[1] "Top 20 countries of total population"
FEMALE POPULATION
[1] "Top 20 countries of female population"
MALE POPULATION
[1] "Top 20 countries of male population"
Bottom 10 countries in 1960,1990,2023
TOTAL POPULATION IN 1960
[1] "Bottom 10 countries of total population"
TOTAL POPULATION IN 1990
[1] "Bottom 10 countries of total population"
TOTAL POPULATION IN 2023
[1] "Bottom 10 countries of total population"
Female vs Male from 1960,1990 and 2023 Bottom 10 countries
[1] "Bottom 10 countries of female population in 1960" Country.Name X1960
153 Palau 4673
5 Andorra 4670
38 Cayman Islands 4494
149 Northern Mariana Islands 4340
28 British Virgin Islands 3954
202 Turks and Caicos Islands 3075
203 Tuvalu 2769
185 St. Martin (French part) 2109
140 Nauru 1666
175 Sint Maarten (Dutch part) 1387[1] "Bottom 10 countries of female population in 1990" Country.Name X1990
175 Sint Maarten (Dutch part) 14037
185 St. Martin (French part) 13697
78 Gibraltar 13366
38 Cayman Islands 13246
167 San Marino 11805
28 British Virgin Islands 7599
153 Palau 7058
202 Turks and Caicos Islands 5642
203 Tuvalu 4773
140 Nauru 4579[1] "Bottom 10 countries of female population in 2023" Country.Name X2023
117 Liechtenstein 19942
175 Sint Maarten (Dutch part) 19157
133 Monaco 18515
167 San Marino 17261
185 St. Martin (French part) 16834
78 Gibraltar 16355
28 British Virgin Islands 16340
153 Palau 8698
140 Nauru 6293
203 Tuvalu 5561[1] "Bottom 10 countries of male population in 1960" Country.Name X1960
5 Andorra 4773
153 Palau 4773
149 Northern Mariana Islands 4362
38 Cayman Islands 3979
28 British Virgin Islands 3897
140 Nauru 2917
203 Tuvalu 2635
202 Turks and Caicos Islands 2530
185 St. Martin (French part) 2026
175 Sint Maarten (Dutch part) 1258[1] "Bottom 10 countries of male population in 1990" Country.Name X1990
117 Liechtenstein 14295
78 Gibraltar 13951
175 Sint Maarten (Dutch part) 13808
38 Cayman Islands 12781
167 San Marino 11328
153 Palau 8236
28 British Virgin Islands 8017
202 Turks and Caicos Islands 6066
140 Nauru 5019
203 Tuvalu 4410[1] "Bottom 10 countries of male population in 2023" Country.Name X2023
127 Marshall Islands 21425
117 Liechtenstein 19643
133 Monaco 17783
167 San Marino 16381
78 Gibraltar 16334
185 St. Martin (French part) 15242
28 British Virgin Islands 15197
153 Palau 9359
140 Nauru 6487
203 Tuvalu 5835Plot 1960,1990 and 2023 Female vs Male
Total Population in India from 1960 to 2023
Warning in data.frame(year = year, value = value): row names were found from a
short variable and have been discarded
Comparison
CONCLUSION
This project provided a comprehensive analysis of global population trends from 1960 to 2023, focusing on total population, female population, and male population data. The data-sets used in this study consisted of 217 rows and 68 columns, encompassing countries worldwide over the specified period. After verifying that there were no missing values, we streamlined the data-sets by removing unnecessary columns, specifically the 2nd, 3rd, and 4th, to focus our analysis on the most relevant information. The country names were then displayed to ensure clarity in the data representation.
Given that population data is discrete, we utilized bar and column charts for visual representation. We selected three key years—1960, 1990, and 2023—to examine and compare the population distribution among the top 20 and bottom 10 countries in terms of total population, as well as gender-specific populations (female and male).
Global Population Trends Our analysis revealed significant shifts in global population rankings over the six decades:
1960: China was the most populous country, maintaining its position as the global leader in population size. Palau was identified as the least populous area during this year. 1990: China remained the most populous country, continuing its demographic dominance. The country with the lowest population shifted to St. Martin (French part). 2023: India emerged as the most populous country, overtaking China, marking a significant demographic shift. The region with the smallest population in 2023 was Sint Maarten (Dutch part). These findings underscore the dynamic nature of population growth and redistribution, influenced by various socio-economic, political, and environmental factors.
Gender-Specific Population Trends We further delved into gender-specific population trends by plotting paired bar diagrams for the bottom 10 countries in terms of male and female populations for the years 1960, 1990, and 2023:
1960: The populations of males and females in the bottom 10 countries were nearly equal, indicating a balanced gender distribution in these less populous regions. 1990: A noticeable shift occurred, with the male population surpassing the female population in the bottom 10 countries. This imbalance may reflect gender-specific migration patterns, birth rates, or other socio-economic factors prevalent at the time. 2023: The trend reversed, with the female population exceeding the male population in the bottom 10 countries. This shift could be attributed to various factors, including changes in life expectancy, migration trends, and gender-specific population policies. India’s Population Trends A special focus was given to India’s population trajectory from 1960 to 2023, using line diagrams to illustrate the trends:
Overall Population Growth: India’s total population exhibited a consistent upward trend, reflecting the country’s rapid population growth over the past six decades. Gender-Specific Growth: Both male and female populations in India have increased steadily over time. However, throughout this period, the male population has consistently been higher than the female population. This disparity highlights ongoing gender imbalances that have persisted despite overall population growth. Implications and Future Considerations The findings of this project highlight the importance of understanding and monitoring population trends, both globally and within specific countries. The shift in the world’s most populous country from China to India by 2023 is particularly significant, indicating potential changes in global economic and political dynamics.
The gender-specific analyses also provide valuable insights into the demographic challenges faced by different regions, particularly in terms of gender balance. These insights can inform future demographic policies, health initiatives, and socio-economic planning.
In conclusion, this study has provided a detailed examination of population dynamics over more than six decades, revealing significant trends and shifts that are crucial for policymakers, researchers, and planners as they prepare for the future.