Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Louisa County, IA
Series ID MHICILBIA19115A052NCEN
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 3:14 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 24379
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28769
1994-01-01 .
1995-01-01 30430
1996-01-01 .
1997-01-01 32645
1998-01-01 35001
1999-01-01 36527
2000-01-01 38199
2001-01-01 37753
2002-01-01 38350
2003-01-01 38787
2004-01-01 40507
2005-01-01 41994
2006-01-01 40872
2007-01-01 43450
2008-01-01 40610
2009-01-01 41193
2010-01-01 46362
2011-01-01 43998
2012-01-01 44122
2013-01-01 46863
2014-01-01 46947
2015-01-01 48283
2016-01-01 46903
2017-01-01 50508
2018-01-01 45422
2019-01-01 55045
2020-01-01 66132
2021-01-01 57839
2022-01-01 63719
2023-01-01 69530

Subscribe to the FRED newsletter


Follow us

Back to Top