You will be given a definition of a task first, then some input of the task.
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as "span". If the answer is a number, label as "number". Similarly, label "date" if you think the answer to the given question is a date.

Passage: From 1962 to 1999, women entering the U.S. workforce represented a nearly 8 percentage point increase in the overall LFPR. The U.S. overall LFPR (age 16+) has been falling since its all-time high point of 67.3% reached in January-April 2000, reaching 62.7% by January 2018. This decline since 2000 is primarily driven by the retirement of the Baby Boom generation. Since the overall labor force is defined as those age 16+, an aging society with more persons past the typical prime working age (25-54) exerts a steady downward influence on the LFPR. The decline was forecast by economists and Demography going back into the 1990s, if not earlier. For example, during 1999 the BLS forecast that the overall LFPR would be 66.9% in 2015 and 63.2% in 2025. A 2006 forecast by Federal Reserve economists (i.e., before the Great Recession that began in December 2007) estimated the LFPR would be below 64% by 2016, close to the 62.7% average that year.
Question: Which year was the BLS forecast higher for the overall LFPR, 2015 or 2025?
Output:
date