Golden Hour in Orlovo, Voronezh, Russia

· Europe/Moscow

Today's golden hour
Morning: 06:34 AM – 07:42 AM (68 min)
Evening: 04:29 PM – 05:37 PM (68 min)
Wednesday, October 21, 2026, local time
☀️ Tip: Golden hour here means the sun is between 4° below and 6° above the horizon. It starts shortly before sunrise and ends shortly after sunset, so it is not a fixed 60 minutes: its length depends on latitude and season.

Golden hour through the year

Approximate times on the 15th of each month, Europe/Moscow local time, including daylight saving time.

Golden hour in Orlovo, next 14 days

DateMorningEvening
06:34 AM – 07:42 AM 04:29 PM – 05:37 PM
06:36 AM – 07:44 AM 04:27 PM – 05:35 PM
06:37 AM – 07:46 AM 04:24 PM – 05:33 PM
06:39 AM – 07:48 AM 04:22 PM – 05:31 PM
06:41 AM – 07:50 AM 04:20 PM – 05:29 PM
06:42 AM – 07:52 AM 04:18 PM – 05:27 PM
06:44 AM – 07:54 AM 04:15 PM – 05:25 PM
06:46 AM – 07:56 AM 04:13 PM – 05:23 PM
06:47 AM – 07:58 AM 04:11 PM – 05:21 PM
06:49 AM – 08:00 AM 04:09 PM – 05:20 PM
06:51 AM – 08:02 AM 04:07 PM – 05:18 PM
06:53 AM – 08:04 AM 04:05 PM – 05:16 PM
06:54 AM – 08:06 AM 04:03 PM – 05:14 PM
06:56 AM – 08:08 AM 04:01 PM – 05:13 PM

Times in Europe/Moscow local time, calculated for 51.75397, 39.58731. A dash means the sun does not pass through the golden-hour band that day.

The golden hour in Orlovo occurs when the sun is low, so sunlight travels through more atmosphere and the light becomes warm and soft. See today's exact sunrise and sunset times for Orlovo, the blue hour and moon phase or the UV index in Orlovo.

About Orlovo

Orlovo has existed as a municipality since 1645 and serves as a human settlement within the Novousmansky District of the Voronezh Oblast in Russia. As of 2021, the local population stands at 4,354 people. The village is home to the Church of the Epiphany, which is the primary notable feature located within the settlement. The area functions as part of the regional administrative structure of Voronezh, reflecting the standard settlement patterns found throughout this district.

AI-assisted description based on geographic data and editorial notes.