Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Page County, IA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Page County, IA
Series ID MHICILBIA19145A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 21877
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25622
1994-01-01 .
1995-01-01 26839
1996-01-01 .
1997-01-01 30585
1998-01-01 32179
1999-01-01 33239
2000-01-01 34179
2001-01-01 33012
2002-01-01 32754
2003-01-01 33811
2004-01-01 35749
2005-01-01 35972
2006-01-01 37265
2007-01-01 38136
2008-01-01 38869
2009-01-01 36842
2010-01-01 37418
2011-01-01 39415
2012-01-01 41281
2013-01-01 43639
2014-01-01 42571
2015-01-01 42505
2016-01-01 45278
2017-01-01 43264
2018-01-01 50337
2019-01-01 47655
2020-01-01 46696
2021-01-01 49016
2022-01-01 53964
2023-01-01 53602

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