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[A_A0N0R02] Full-time Equivalent of R&D Personnel in High-tech _Industry

Updated on DBnomics on March 9, 2025 (9:46 AM).

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Frequency [freq] (1)
Unit [unit] (1)

This dataset has 20 series:

from
2015=726,983.3
to
2024=NA
min:
726,983.3
max:
1,397,796.1
avg:
964,454.944
σ:
230,407.391
from
2015=128,589
to
2024=NA
min:
121,517.2
max:
191,291.8
avg:
142,753.589
σ:
23,830.705
from
2015=66,855.4
to
2024=NA
min:
58,764.8
max:
86,014.7
avg:
67,529.733
σ:
8,582.291
from
2015=27,018.1
to
2024=NA
min:
24,793.6
max:
32,176.7
avg:
27,368.678
σ:
1,981.099
from
2015=19,612.5
to
2024=NA
min:
17,505.2
max:
35,347.1
avg:
23,065.311
σ:
6,199.337
from
2015=45,832.1
to
2024=NA
min:
37,397
max:
45,832.1
avg:
41,614.55
σ:
4,217.55
from
2015=402,512.5
to
2024=NA
min:
402,512.5
max:
898,892.6
avg:
595,178.322
σ:
165,797.885
from
2015=146,212.8
to
2024=NA
min:
146,212.8
max:
153,828.3
avg:
149,354.9
σ:
3,248.408
from
2015=6,005.4
to
2024=NA
min:
3,248.9
max:
6,005.4
avg:
4,954.45
σ:
1,030.835
from
2015=12,432.5
to
2024=NA
min:
9,653
max:
15,281
avg:
12,517
σ:
1,391.298