Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Polk County, IA
Series ID MHICILBIA19153A052NCEN
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 1:12 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 29094
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35329
1994-01-01 .
1995-01-01 36701
1996-01-01 .
1997-01-01 40246
1998-01-01 43063
1999-01-01 43226
2000-01-01 45387
2001-01-01 45297
2002-01-01 46029
2003-01-01 46694
2004-01-01 48553
2005-01-01 50452
2006-01-01 50844
2007-01-01 52810
2008-01-01 55543
2009-01-01 52833
2010-01-01 52152
2011-01-01 53772
2012-01-01 55980
2013-01-01 57326
2014-01-01 59337
2015-01-01 58480
2016-01-01 61624
2017-01-01 64099
2018-01-01 65793
2019-01-01 64854
2020-01-01 64364
2021-01-01 71025
2022-01-01 74313

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