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The image presents a line graph illustrating annual expenditure in NZ$ from Australia, USA, UK, Japan, and China between 1996 and 2014. Australia's expenditure rises steadily from around 1,000 in 1996, peaks at 2,500 in 2007, mildly declines to around 2,000 in 2010, and stabilizes near 2,300 in 2014. The USA's expenditure starts just below 1,000 in 1996, escalates to approximately 2,000 in 2002, dips to about 1,200 in 2004, peaks again over 2,000 in 2009, and flattens near 1,500 by 2014. The UK's expenditure begins at 1,000 in 1996, increases to 1,500 around 2001, fluctuates around 1,200 until 2007, and declines steadily to just under 1,000 in 2014. Japan's expenditure starts near 400 in 1996, gradually decreases to around 200 in 2001, fluctuates close to 500 in 2005, and stabilizes below 500 in 2014. China's expenditure commences at 0 in 1996, rises sharply to over 500 by 2003, remains relatively stable around 500, and ends slightly above 500 by 2014.
Given the complexity of the image, the above description may not be entirely accurate.
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This graph illustrates the traveler figures analysis in each year, which was visiting to New Zealand from five countries between 1996 to 2014.
Overall, the data reveals a clear trends, as the graph Australia commanding the highest visitors from 1996 to 2014 while, China recorded the lowest figures during this period.
In detail, Australia exhibited the highest visitor numbers starting at 1,000 in 1996 surpassing slightly in 2006, fell sharply a little but can recovering in next four years. The United States followed as the second-highest source of visitors to New Zealand, starting with 800 and steady increase in each year, except for a decline in 2010. Bothe Japan and United Kingdom began with 500 visitors; however, their lead in different way, Japan saw increase in visitor numbers, while the UK relieved. Notably, in 2006, UK surpassed Japan in visitor numbers. Lastly, the figures for China remained certain throughout the years.
In summary, each of five countries displayed distinct patterns in their traveler figures. The data suggests that visitor numbers fluctuated significantly, and there were inconsistencies in the figures reported.
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