Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake County, MT
Series ID MHICILBMT30047A052NCEN
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 16636
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21324
1994-01-01 .
1995-01-01 23664
1996-01-01 .
1997-01-01 24217
1998-01-01 24519
1999-01-01 26359
2000-01-01 27494
2001-01-01 26867
2002-01-01 27410
2003-01-01 28573
2004-01-01 29590
2005-01-01 33416
2006-01-01 31833
2007-01-01 31902
2008-01-01 34892
2009-01-01 32454
2010-01-01 32470
2011-01-01 33949
2012-01-01 30737
2013-01-01 36739
2014-01-01 35414
2015-01-01 35908
2016-01-01 37295
2017-01-01 38609
2018-01-01 41216
2019-01-01 45287
2020-01-01 47003
2021-01-01 45884
2022-01-01 53133

Subscribe to the FRED newsletter


Follow us

Back to Top