Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jay County, IN
Series ID MHICILBIN18075A052NCEN
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 3:13 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 20994
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24640
1994-01-01 .
1995-01-01 26256
1996-01-01 .
1997-01-01 29178
1998-01-01 30372
1999-01-01 32132
2000-01-01 33881
2001-01-01 33123
2002-01-01 32928
2003-01-01 33742
2004-01-01 35863
2005-01-01 31556
2006-01-01 34239
2007-01-01 37094
2008-01-01 38193
2009-01-01 34850
2010-01-01 35173
2011-01-01 35831
2012-01-01 39268
2013-01-01 38982
2014-01-01 35895
2015-01-01 39442
2016-01-01 43524
2017-01-01 42278
2018-01-01 43669
2019-01-01 44281
2020-01-01 39891
2021-01-01 47434
2022-01-01 51248
2023-01-01 53597

Subscribe to the FRED newsletter


Follow us

Back to Top