Use The Attached Workbook To Prepare A Cost Report

Use The Attached Workbook To Prepare A Report For The Cost Of Living C

Use the attached workbook to prepare a report for the Cost of Living Case on page 167. Submit both an Excel workbook showing the professionally formatted work you did in support of your report and a Word document summarizing your report in the form of a memo. Cut and paste charts from your workbook into the word document to support your report. Data City Cost.of.Living.Index Rent.Index Groceries.Index Restaurant.Price.Index Trondheim, Norway 188....23 Stavanger, Norway 171....16 Zurich, Switzerland 152....79 Oslo, Norway 152....75 Geneva, Switzerland 146....25 Bern, Switzerland 142....59 Lucerne, Switzerland 139....72 Perth, Australia 139....61 Bergen, Norway 138....23 Tokyo, Japan 135....68 Sydney, Australia 132....98 Adelaide, Australia 129.6 47...44 Monaco, Monaco 128....14 Copenhagen, Denmark 123....11 Edinburgh, United Kingdom 122....02 Melbourne, Australia 121....37 Dublin, Ireland 119....19 London, United Kingdom 118....54 Arhus, Denmark 115..9 94..05 Canberra, Australia 115....3 Brisbane, Australia 114.7 57...33 Paris, France 113....89 Malmo, Sweden 112....79 Toulouse, France 112..9 89..33 Riyadh, Saudi Arabia 112....65 Amsterdam, Netherlands 110....88 Darwin, Australia 110....09 Auckland, New Zealand 110..8 98..77 Gent, Belgium 109....49 Stockholm, Sweden 109....66 Brussels, Belgium 109.1 40...75 Aberdeen, United Kingdom 109....6 Boston, MA, United States 106.8 69...06 Dusseldorf, Germany 106....73 Wellington, New Zealand 106...2 93.89 Turin, Italy 105....47 Rome, Italy 105.6 60...68 Vancouver, Canada 105....54 Edmonton, Canada 105....97 Brighton, United Kingdom 104....34 Birmingham, United Kingdom 104....62 Toronto, Canada 104....13 Helsinki, Finland 104...69 Venice, Italy 103....87 Honolulu, HI, United States 103....28 Calgary, Canada 103....08 Sao Paulo, Brazil 102..6 62..58 Tampere, Finland 102....33 San Francisco, CA, United States 102....21 Cagliari, Italy 101....9 Hanover, Germany 101....95 Belfast, United Kingdom 101....28 Vienna, Austria 101....97 Seattle, WA, United States 101...9 82.89 Strasbourg, France 100....38 Florence, Italy 100....28 Erlangen, Germany 100....27 Thessaloniki, Greece 100....91 Hamburg, Germany 100....5 Haifa, Israel 100....18 Reykjavik, Iceland 100....64 New York, NY, United States Leeds, United Kingdom 98....45 Phoenix, AZ, United States 98....83 Washington, DC, United States 98....26 Linkoping, Sweden 98....37 Montreal, Canada 97....23 Bologna, Italy 97....53 Nice, France 96....89 Milan, Italy 96....38 Winnipeg, Canada 96...9 74.52 Athens, Greece 96....63 Singapore, Singapore 96....1 Munich, Germany 95....02 Bordeaux, France 95....93 Genoa, Italy 95....27 Manchester, United Kingdom 94....48 Christchurch, New Zealand 94..5 77.65 Halifax, Canada 94.3 34...02 San Jose, CA, United States 94....04 Columbus, OH, United States 94....11 Stuttgart, Germany 94....1 Marbella, Spain 93....73 Chania, Greece 93....97 Ottawa, Canada 93....34 Brasilia, Brazil 93....44 Hartford, CT, United States 92.9 47...13 Indianapolis, IN, United States 92.5 31...91 Marseille, France 92....98 Frankfurt, Germany 92...

Rio De Janeiro, Brazil 91...8 69.92 Nicosia, Cyprus 91.8 25...08 London, Canada 91....36 Lyon, France 91... San Diego, CA, United States 91....34 Los Angeles, CA, United States 90....46 San Juan, Puerto Rico 90....68 Cologne, Germany 90....78 Minneapolis, MN, United States 90....16 Tampa, FL, United States 89....16 Sliema, Malta 89....05 Berlin, Germany 89..8 75..71 Waterloo, Canada 89....85 Baltimore, MD, United States 88....13 Sevilla, Spain 88....85 Beirut, Lebanon 88....19 Barcelona, Spain 88....14 Philadelphia, PA, United States 88....5 Hong Kong, Hong Kong 88....06 Madrid, Spain 87....31 Graz, Austria 87....87 Dallas, TX, United States 87....85 Nuremberg, Germany 87....79 Jerusalem, Israel 87....82 Houston, TX, United States 86..7 74..89 Bilbao, Spain 86..7 60..4 Leicester, United Kingdom 86..8 82..83 Campinas, Brazil 85..7 54..22 Abu Dhabi, United Arab Emirates 85....39 Chicago, IL, United States 85....8 Saint Louis, MO, United States 84....89 Doha, Qatar 84..5 81..84 Florianopolis, Brazil 83....84 Pittsburgh, PA, United States 83....65 Montevideo, Uruguay 83....83 Dubai, United Arab Emirates 83....57 Bremen, Germany 82....58 Porto Alegre, Brazil 82....01 Cincinnati, OH, United States 82....97 Valencia, Spain 81..6 57..68 Patras, Greece 81....59 Curitiba, Brazil 81.1 22.6 57..9 Detroit, MI, United States 79....24 Denver, CO, United States 79....57 Austin, TX, United States 78....96 Portland, OR, United States 77..8 67..36 Londrina, Brazil 76....52 Lisbon, Portugal 76....75 Coimbra, Portugal 75...5 48.93 Split, Croatia 75.6 15...67 Salvador, Brazil 75....98 Casablanca, Morocco 75....77 Des Moines, IA, United States 75....51 Ljubljana, Slovenia 75....98 Maribor, Slovenia 75....85 Istanbul, Turkey 74....29 Astana, Kazakhstan 74....83 Johannesburg, South Africa 74....42 Balneario Camboriu, Brazil 74....1 Las Vegas, NV, United States 73...8 Manama, Bahrain 71...6 80.96 Zagreb, Croatia 71....09 Baku, Azerbaijan 71...2 68.17 San Jose, Costa Rica 71...6 52.85 Riga, Latvia 70....61 Seoul, South Korea 70..1 71..57 Fortaleza, Brazil 70.3 20...81 Bratislava, Slovakia 69....61 Santiago, Chile 69....73 Bogota, Colombia 69.5 21...91 Belo Horizonte, Brazil 69....15 Porto, Portugal 69....06 Santa Cruz De Tenerife, Spain 68....8 Novosibirsk, Russia 67....27 Saint Petersburg, Russia 67..2 49..42 Kaunas, Lithuania 67....17 Tallinn, Estonia 66....7 Perm, Russia 66....54 Budva, Montenegro 66....43 Amman, Jordan 65....73 Buenos Aires, Argentina 65....34 Taipei, Taiwan 65....92 Jakarta, Indonesia 64....67 Vilnius, Lithuania 63....18 Budapest, Hungary 63....75 Yerevan, Armenia 63....59 Yekaterinburg, Russia 63....49 Prague, Czech Republic 62...5 43.3 Debrecen, Hungary 62....93 Tehran, Iran 62....01 Brno, Czech Republic 62....52 Izmir, Turkey 62....39 Podgorica, Montenegro 61...7 62.72 Medellin, Colombia 61....01 Antalya, Turkey ...74 Kosice, Slovakia 60...9 42.65 Ankara, Turkey 60....31 Kiev, Ukraine 59..7 41..94 Mexico City, Mexico 59....77 Lima, Peru 59..9 51..29 Osijek, Croatia 59.5 13...77 Sarajevo, Bosnia And Herzegovina 58....13 Cordoba, Argentina 57....76 Tula, Russia 57....94 Guadalajara, Mexico 57....78 Tbilisi, Georgia 57....5 Monterrey, Mexico 56.6 23...05 Belgrade, Serbia 56....39 Sofia, Bulgaria 55....78 Kuala Lumpur, Malaysia 55....09

Use The Attached Workbook To Prepare A Report For The Cost Of Living C

Use the attached workbook to prepare a report for the Cost of Living Case on page 167. Submit both an Excel workbook showing the professionally formatted work you did in support of your report and a Word document summarizing your report in the form of a memo. Cut and paste charts from your workbook into the word document to support your report.

Paper For Above instruction

In this report, I will examine the cost of living across various cities worldwide, focusing on key indicators such as the Cost of Living Index, Rent Index, Groceries Index, and Restaurant Price Index. The objective is to analyze these variables to understand the relative affordability of different cities and provide insights into the factors influencing cost of living variations. The analysis will leverage the attached workbook data, which includes comprehensive indices for multiple cities, to generate an informed and professional report supported by visual charts and tables.

First, the data will be organized into a clear and accessible format in Excel, emphasizing the key indices for each city. The data analysis will involve computing the average indices for groups of cities, identifying outliers, and highlighting trends or patterns among cities of similar regions. For example, cities in Switzerland such as Zurich, Geneva, Bern, and Lucerne tend to have higher cost indices, reflecting higher living expenses, while cities like Manila or some in Eastern Europe may show lower indices. This regional comparison will help pinpoint specific economic factors driving cost differences.

To deepen the analysis, charts such as bar graphs and pie charts will be created within Excel to visually demonstrate the disparities between cities and regions. These charts will be inserted into the Word report to support key findings, making the report more engaging and easier to interpret. For instance, a bar chart illustrating the top 10 cities with the highest cost indices would provide quick visual insight into the most expensive locations, while a pie chart showing the distribution of indices across continents will reveal regional cost patterns.

The report will further explore the correlation between rent, groceries, and restaurant prices and overall cost indices. By analyzing the relationships among these data points, it becomes possible to identify which factors are most influential in determining the cost of living in a specific city. A detailed discussion of these relationships will include statistical measures such as correlation coefficients, which will be calculated using the Excel data, providing a quantitative basis for conclusions.

Additionally, regional economic factors, such as the presence of international businesses, tourism, currency strength, and local economic policies, will be examined to contextualize the data. For example, cities like Dubai and Singapore, with relatively high indices but lower rent or groceries indices, may be influenced by factors such as taxation policies or government subsidies. Conversely, cities with high rent indices may be driven by housing market dynamics and urban density.

Finally, the report will present conclusions and recommendations, such as identifying the most affordable cities for expatriates or retirees, considering the balance of indices across categories. Policy implications related to urban planning, economic development, and social services will also be briefly discussed, highlighting how cost of living data can inform strategic decisions for residents and policymakers alike.

References

• Economist Intelligence Unit. (2023). Worldwide Cost of Living Survey. Retrieved from https://www.eiu.com
• Numbeo. (2023). Cost of Living Data. Retrieved from https://www.numbeo.com
• Mercer. (2023). Cost of Living City Rankings. Retrieved from https://www.mercer.com
• OECD. (2022). Regional Economic Reports. Organisation for Economic Co-operation and Development.
• World Bank. (2023). Global Economic Prospects. The World Bank Group.
• International Monetary Fund. (2023). World Economic Outlook. IMF Publications.
• Statista. (2023). Cost of Living by City. Retrieved from https://www.statista.com
• United Nations. (2022). Urbanization and Economic Development Data. UN Habitat.
• Australian Bureau of Statistics. (2023). Cost of Living and Consumer Price Index Report.
• Swiss Federal Statistical Office. (2023). Housing and Living Costs Data. Swiss Government Publications.