Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Apache County, AZ

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Apache County, AZ
Series ID MHICIUBAZ04001A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:10 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 19769
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21178
1994-01-01 .
1995-01-01 23342
1996-01-01 .
1997-01-01 23413
1998-01-01 24412
1999-01-01 25055
2000-01-01 26212
2001-01-01 25263
2002-01-01 26064
2003-01-01 27314
2004-01-01 28427
2005-01-01 28598
2006-01-01 29618
2007-01-01 32383
2008-01-01 34604
2009-01-01 31616
2010-01-01 33093
2011-01-01 33054
2012-01-01 34707
2013-01-01 32342
2014-01-01 34888
2015-01-01 33461
2016-01-01 36641
2017-01-01 35674
2018-01-01 36824
2019-01-01 39141
2020-01-01 41552
2021-01-01 44225
2022-01-01 44524

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