ARIMA(0,1,0) predictions are previous values from one year before I'm new to ARIMA modelling, and am trying to use the xlstat app to model alcohol sales using ARIMA(0,1,0) based on yearly data. These are the data points I'm using: 
The dickey-fuller test shows that the data is stationary and looking at the acf and pacf I decided to use an ARIMA(0,1,0) to model the data. 
When I modelled the data, however, the ARIMA seems to be predicting values that were just the observed values a year ago. For example the predicted value for 2018 is the exact same value observed in 2017, and the other points all seem to be based on points in the previous year.  
I have tried this with a bigger dataset and it did the same thing again.  Why is this happening and how can I fix it so that the ARIMA is actually predicting a value rather than 'copying' the past data points?
Thank you very much for your help, I'm doing this for my extended essay right now so would really appreciate any fast replies.

The ARIMA(0, 1, 0) model is just the I(1) model, which is:
$$
y_{t+1} = y_t + \epsilon_{t+1},
$$
also called the random walk. As you can see, the expectation of $y_{t+1}$ is then just the previous value $y_t$, so the program is doing exactly what you have told it to do.
But just continuing with the latest value is probably the best you can do here. Look at your data. You have only a few data points, so, not much to learn from, and those points don't give you much of a pattern.
